• Alonso, R.J., Bagland, V., Desvillettes, L., Lods, B. (2022)
    About the Landau-Fermi-Dirac equation with moderately soft potentials. Archive for Rational Mechanics and Analysis, 244, 779-875.
  • Alonso, R.J., Lods, B., Tristani, I. (2022)
    From Boltzmann equation for granular gases to a modified Navier-Stokes-Fourier system. Journal of Statistical Physics, 187, 28.
  • Bacallado, S., Favaro, S., Power, S., Trippa L. (2022)
    Perfect sampling of the posterior in the hierarchical Pitman-Yor process. Bayesian Analysis, 17, 685-709.
  • Bandini, E., De Angelis, T., Ferrari, G., Gozzi, F. (2022)
    Optimal dividend payout under stochastic discounting. Mathematical Finance, 32, 627-677.
  • Berloco, C., Argiento, R., Montagna, S. (2022)
    Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods. International Journal of Forecasting (link to journal article).
  • Cai, C., De Angelis, T. Palczewski, J. (2022)
    The American put with finite-time maturity and stochastic interest rate. Mathematical Finance, 32, 1170-1213.
  • Campi, L., De Angelis, T., Ghio, M., Livieri, G. (2022)
    Mean-field games of finite-fuel capacity expansion with singular controls. Annals of Applied Probability, 32, 3674-3717.
  • Catalano, M., De Blasi, P., Lijoi, A., Prünster, I. (2022)
    Posterior asymptotics for boosted hierarchical Dirichlet process mixtures. Journal of Machine Learning Research, 23, 1−23.
  • Chirco, G., Malago’, L. Pistone, G. (2022)
    Lagrangian and Hamiltonian Dynamics for Probabilities on the Statistical Bundle. International Journal of Geometric Methods in Modern Physic, 19, 2250214.
  • Colaneri, K., De Angelis, T. (2022)
    A class of recursive optimal stopping problems with applications to stock trading. Mathematics of Operations Research, 47, 1833-1861.
  • De Angelis, T. (2022)
    Stopping spikes, continuation bays and other features of optimal stopping with finite-time horizon. Electronic Journal of Probability, 27, 1-41.
  • De Angelis, T., Ekstrom, E., Glover, K. (2022)
    Dynkin games with incomplete and asymmetric information. Mathematics of Operations Research, 47, 560-586.
  • De Angelis, T., Gensbittel, F., Villeneuve, S. (2021)
    A Dynkin game on assets with incomplete information on the return. Mathematics of Operations Research, 46, 28-60.
  • De Angelis, T., Germain , M., Issoglio, E. (2022)
    A numerical scheme for stochastic differential equations with distributional drift. Stochastic Processes and Their Applications 154, 55-90.
  • De Angelis, T., Merkulov, N., Palczewski, J. (2022)
    On the value of non-Markovian Dynkin games with partial and asymmetric information.  Annals of Applied Probability, 32, 1774-1813.
  • De Angelis, T., Stabile, G. (2022)
    An analytical study of participating policies with minimum rate guarantee and surrender option. Finance and Stochastics, 26,  173-216.
  • De Angelis, T., Tankov, P., Zerbid, O.D. (2022)
    Climate impact investing. Management Science (link to journal article).
  • De Blasi, P., Mena R. H., Prünster, I. (2022).
    Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process. Annals of the Institute of Statistical Mathematics, 74, 143-165.
  • Dolmeta, P., Argiento, R., Montagna, S. (2022).
    Bayesian GARCH modeling of functional sports data. Statistical Methods and Applications (link to journal article).
  • Fasano, A., Durante, D., and Zanella, G., (2022) Scalable and accurate variational Bayes for high-dimensional binary regression models. Biometrika, 109, 901-919.
  • Fasano, A., and Durante, D., (2022)  A class of conjugate priors for multinomial probit models which includes the multivariate normal one. Journal of Machine Learning Research, 23, 1-16.
  • Leonetti, P. Chokami A. (2022)
    The maximum domain of attraction of multivariate extreme value distributions is small. Electronic Communications in Probability, 27, 1-8.
  • Lods, B., Mokhtar-Kharroubi, M. (2022)
    Convergence rate to equilibrium for collisionless transport equations with diffuse boundary operators: A new Tauberian approach.  Journal of Functional Analysis,  283, 109671.
  • Lods, B., Mokhtar-Kharroubi, M. (2022)
    On eventual compactness of collisionless kinetic semigroups with velocities bounded away from zero. Journal of Evolution Equations, 22, 25.
  • Masoero, L. Camerlenghi, F., Favaro, S., Broderick, T. (2022)
    More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics. Biometrika, 109, 17-32.
  • Montrucchio, L., Pistone, G. (2022)
    Kantorovich distance on finite metric spaces: Arens-Eells norm and CUT norms. Information Geometry, 5, 209-245.
  • Sesia, M., Favaro, S. (2022)
    Conformal frequency estimation with sketched data. NeurIPS.



  • Alonso, R. J., Bagland V., Lods B. (2021)
    Long time dynamics for the Landau-Fermi-Dirac equation with hard potentials. Journal of Differential Equations, 270, 596-663.
  • Alonso, R.J., Bagland, V., Desvillettes, L., Lods, B. (2021)
    About the use of entropy production for the Landau-Fermi-Dirac equation. Journal of Statistical Physics, 183, 10.
  • Arbel, J., Kon Kam King, G., Lijoi, A., Nieto-Barajas, L.E., Prünster, I. (2021)
    BNPdensity: Bayesian nonparametric mixture modelling in R. Australian & New Zealand Journal of Statistics, 63, 542-564.
  • Ascolani, F., Lijoi, A., Ruggiero, M. (2021)
    Predictive inference with Fleming-Viot driven dependent Dirichlet processes. Bayesian Analysis, 16, 371-395.
  • Ayed, F., Battiston, M. , Camerlenghi, F., Favaro, S. (2021)
    Consistent and rate optimal estimation of the missing mass.
    Annales de l’Institut Henri Poincaré – Probabilités et Statistiques 57, 1476-1494.
  • Ayed, F., Battiston, M. , Camerlenghi, F., Favaro, S. (2021)
    Consistent estimation of small masses in feature sampling. Journal of Machine Learning Research 22, 1-28.
  • Bracale, D., Favaro, S., Fortini, S., Peluchetti, S. (2021)
    Large-width functional asymptotics for deep Gaussian neural networks. International Conference on Learning Representations.
  • Cai, C., De Angelis, T., Palczewski, J. (2021)
    Optimal hedging of a perpetual American put with a single trade. SIAM Journal on Financial Mathematics 12 (2), 823-866.
  • Camerlenghi, F., Favaro S., Naulet, Z., Panero F. (2021)
    Optimal disclosure risk assessment, with
    Annals of Statistics 49, 723-744.
  • Camerlenghi, F., Lijoi, A., Prünster, I. (2021)
    Survival analysis via hierarchically dependent mixture hazards. The Annals of Statistics, 49, 863-884.
  • Canizo, J.A., Lods, B., Throm, S. (2021)
    Contractivity for Smoluchowski’s coagulation equation with solvable kernels. Bulletin of the London Mathematical Society, 53, 248-258.
  • Catalano, M., Lijoi, A., Prünster, I. (2021)
    Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. The Annals of Statistics 49 (5), 2916-2947.
  • Catalano, M., Lijoi, A., Prünster, I. (2021)
    Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics. In Advances in Probability and Mathematical Statistics, Springer, 59-70.
  • Chae, M., De Blasi, P., Walker, S.G. (2021). Posterior asymptotics in Wasserstein metrics on the real line. Electronic Journal of Statistics 15, 3635-3677.
  • Denti, F., Guindani, M., Leisen, F., Lijoi, A., Vannucci, M. and Wadsworth, D. (2021)
    Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics, 77, 622-633.
  • Dolera, E., Favaro, S., Peluchetti, S. (2021)
    A Bayesian nonparametric approach to count-min sketch under power-law data streams. International Conference on Artificial Intelligence and Statistics.
  • Fasano, A., Rebaudo, G., Durante, D., Petrone S. (2021)
    A closed-form filter for binary time series. Statistics and Computing 31, 47.
  • Gil-Leyva, M.F. (2021)
    Bayesian non-parametric priors based on random sets. In Advances in Probability and Mathematical Statistics. Progress in Probability, vol 79. Birkhäuser, Cham.
  • Khorrami, C. A., Gasparini, M., Merletti, R. (2021)
    Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players. Biomedical Signal Processing and Control 65, 102369.
  • Kon Kam King, G., Papaspiliopoulos, O., Ruggiero, M. (2021)
    Exact inference for a class of hidden Markov models on general state spaces, Electronic Journal of Statistics 15, 2832-2875.
  • Maculotti, G., Pistone, G., Vicario, G. (2021)
    Inference on errors in industrial parts: Kriging and variogram versus geometrical product specifications standard. Applied Stochastic Models in Business and Industry 37 (5), 839-858.
  • Montagna, S., Orani, V., Argiento, R. (2021)
    Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis. Statistical Methods and Applications 30, 573 – 604.
  • Pistone, G. (2021)
    Information Geometry of Smooth Densities on the Gaussian Space: Poincaré Inequalities. In: Nielsen F. (eds) Progress in Information Geometry. Signals and Communication Technology. Springer, Cham.
  • Pistone, G., Rapallo, F., Rogantin, M.P. (2021)
    Finite space Kantorovich problem with an MCMC of moves. Electronic Journal of Statistics 15(1) 880-907



  • Alonso, R. J., Bagland, V., and Lods, B. (2020)
    Convergence to self-similarity for ballistic annihilation dynamics, Journal de Mathématiques Pures et Appliquées 138, 88-163
  • Arbel, J., Marchal, O. & Nipoti, B. (2020)
    On the Hurwitz zeta function with an application to the beta-exponential distribution. Journal of Inequalities and Applications, 89.
  • Bacallado S., Favaro S., Huttenhower C., Ren B., Trippa L. (2020)
    Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis. Annals of Applied Statistics 14, 494-517
  • Braunstein, A., Muntoni, A. P., Pagnani, A., Pieropan, M. (2020)
    Compressed sensing reconstruction using expectation propagation. Journal of Physics A: Mathematical and Theoretical 53(18), 184001
  • Catalano, M., Lijoi, A., Pruenster I. (2020)
    Approximation of Bayesian models for time-to-event data. Electronic Journal of Statistics 14, 3366-3395
  • De Blasi, P., Martinez, A.E., Mena, R.H., and Prünster, I. (2020)
    On the inferential implications of decreasing weight structures in mixture models. Computational Statistics & Data Analysis 147, 106940
  • Dolera, E., Favaro S. (2020)
    Rates of convergence in de Finetti’s representation theorem, and Hausdorff moment problem. Bernoulli 26, 1294-1322
  • Dolera, E., Favaro, S. (2020)
    A Berry-Esseen theorem for Pitman’s alpha-diversity. Annals of Applied Probability 30, 847-869
  • Falk, M., Khorrami Chokami, A., and Padoan, S. (2020)
    Records for time-dependent stationary Gaussian sequences. Journal of Applied Probability, 57(1), 78-96.
  • Giordano, M., De Blasi, P. and Ruggiero, M. (2020)
    A reversible allelic partition process and Pitman sampling formula. ALEA – Latin American Journal of Probability and Mathematical Statistics 17, 375-388
  • Graziadei, H., Lijoi, A., Lopes, H.F., Marques F., P.C, and Prünster, I. (2020)
    Prior sensitivity analysis in a semi-parametric integer-valued time series model. Entropy, 22, 69
  • Graziani, R., Venturini, S. (2020)
    A Bayesian approach to discrete multiple outcome network meta-analysis. PLoS ONE 15(4)
  • Kowal, D. R., Canale, A., (2020)
    Simultaneous transformation and rounding (STAR) models for integer-valued data, Electronic Journal of Statistics, 14, 1744-1772
  • Lijoi, A., Prünster, I. and Rigon, T. (2020)
    Sampling hierarchies of discrete randomstructures. Statistics & Computing 30, 1591-1607
  • Lijoi, A., Pruenster, I. and Rigon, T. (2020).
    The Pitman-Yor multinomial process for mixture modeling. Biometrika 107, 891-906
  • Lods, B., Mokhtar-Kharroubi, M. and Rudnicki, R. (2020)
    Invariant density and time asymptotics for collisionless kinetic equations with partly diffuse boundary operators, Annales Institut Henri Poincaré, Analyse Nonlinéaire 37, 877-923
  • Nota, A., Lods, B. and Pezzotti, F. (2020)
    A Kac model for kinetic annihilation, Journal of Nonlinear Science 30, 1455-1501
  • Ortega, E., Braunstein, A., Lage-Castellanos, A. (2020)
    Contamination source detection in water distribution networks using belief propagation. Stochastic Environmental Research and Risk Assessment 34(3), 493-511
  • Papaspiliopoulos, O., Roberts, G.O. and Zanella, G. (2020)
    Scalable inferencesfor crossed random effects models. Biometrika 107, 25-40
  • Pistone, G. (2020)
    Information Geometry of the Probability Simplex: A Short Course NPCS Nonlinear Phenomena in Complex Systems 23(2), 221-242
  • Samartsidis, P., Montagna, S., Laird, A. R., Fox, P. T., Johnson, T. D., and Nichols, T. E. (2020)
    Estimating the prevalence of missing experiments in a neuroimaging meta-analysis. Research Synthesis Methods 11, 866-883
  • Samartsidis, P., Seaman, S. R., Montagna, S., Charlett, A., Hickman, M., and De Angelis, D. (2020)
    A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes. Journal of the Royal Statistical Society, Series A 183 (4), 1437-1459
  • Schiavon, L., Canale, A. (2020)
    On the truncation criteria in infinite factor models. Stat 9 (1), e298
  • Zanella, G. (2020)
    Informed proposals for local MCMC in discrete spaces. Journal of the American Statistical Association 115:530, 852-86



  • Adhikari, K., De Iorio, M., Elliott L. , Favaro S., Teh Y.W. (2019)
    Modeling population structure under hierarchical Dirichlet processes.
    Bayesian Analysis 14, 313-339
  • Alonso, R. J., Bagland, V., and Lods, B. (2019)
    Uniform estimates on the Fisher information for solutions to Boltzmann and Landau equations. Kinetic and Related Models 12, 1163-1183
  • Arbel, J., De Blasi, P., and Prünster, I. (2019)
    Stochastic approximations to the Pitman-Yor process. Bayesian Analysis 15, 1201-1219
  • Argiento, R., Cremaschi, A. and Vannucci, M. (2019)
    Hierarchical Normalized Completely Random Measures to Cluster Grouped Data. Journal of the American Statistical Association. 115:529, 318-333.
  • Arlotti, L., and Lods, B. (2019)
    An Lp-approach to the well-posedness of transport equations associated to a regular field – Part I. Mediterranean Journal of Mathematics 16, 145.
  • Ayed, F., Battiston, M. , Camerlenghi, F. , Favaro, S. (2019)
    A Good-Turing estimator for feature allocation models. Electronic Journal of Statistics 13, 3775-3804
  • Balocchi, C., Jensen, S. T. (2019)
    Spatial Modeling of Trends in Crime over Time in Philadelphia. Annals of Applied Statistics 13(4), 2235-2259
  • Braunstein, A., Ingrosso, A., Muntoni, A. P. (2019)
    Network reconstruction from infection cascades. Journal of The Royal Society Interface 16(151), 20180844
  • Braunstein, A., Catania, G., Dall’Asta, L. (2019)
    Loop Corrections in Spin Models through Density Consistency. Physical Review Letters 123(2), 020604
  • Cañizó, J. A., Einav A., and Lods, B. (2019)
    Uniform Moment Propagation for the Becker- Döring Equations. Proceedings of the Royal Society of Edinburgh, section A 149, 995-1015
  • Camerlenghi, F., Lijoi, A., Orbanz, P. and Prünster, I. (2019)
    Distribution theory for hierarchical processes.
    The Annals of  Statistics, 47, 67-92.
  • Camerlenghi, F., Dunson, D.B., Lijoi, A., Prünster, I., and Rodriguez, A. (2019)
    Latent nested nonparametric priors (with discussion).
    Bayesian Analysis, 15, 1303-1356
  • Camerlo, , R. Pistone, G., Rapallo, F. (2019)
    Modal operators and toric ideals Journal of Logic and Computation. 29(5), 577-59
  • Carmona, C., Nieto-Barajas, L., Canale, A. (2019),
    Model-based approach for household clustering with mixed scale variables, Advances in Data Analysis and Classification , 13, 559-583
  • Cremaschi, A., Argiento, R., Shoemaker, K., Peterson, C.B. and Vannucci M. (2019)
    Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling. Bayesian Analysis. 14:4, 1271-1301.
  • Durante, D., Canale, A., Rigon, T. (2019)
    A nested expectation-maximization algorithm for latent class models withm covariates,
    Statistics and probability letters, 146, 97-103
  • Durante, D. and Rigon, T. (2019)
    Conditionally conjugate mean-field variational Bayes for logistic models. Statistical Science 34(3), 472-485.
  • Favaro, S., Feng, S., Jenkins, P. (2019)
    Bayesian nonparametric analysis of Kingman’s coalescent. Annales de l’Institut Henri Poincaré – Probabilités et Statistiques 55, 1087-1115
  • Fassino, C., Pistone, G., Rogantin. M.P. (2019)
    Computing the Moments of the Complex Gaussian: Full and Sparse Covariance Matrix Mathematics. 7(3) 26
  • Giuliano, M., Schettini, F., Rognoni, C., Milani, M., Jerusalem, G., Bachelot, T., De Laurentiis, M., Thomas, G., De Placido, P., Arpino, G., De Placido, S., Cristofanilli, M., Giordano, A., Puglisi, F., Pistilli, B., Prat, A., Del Mastro, L., Venturini, S., Generali, D. (2019)
    Endocrine versus chemotherapy treatment in hormone receptor-positive, HER2-negative, postmenopausal, metastatic breast cancer: a systematic review and network meta-analysis. The Lancet Oncology 20(10) 1360-1369
  • Kon Kam King, G., Canale, A. and Ruggiero, M. (2019)
    Bayesian functional forecasting with locally-autoregressive dependent processes. Bayesian Analysis 14, 1121-1141.
  • Lee, A., Tiberi, S. and Zanella, G. (2019)
    Unbiased approximations of products of expectations. Biometrika 106, 708-715
  • Muntoni, A. P., Rojas, R. D. H., Braunstein, A., Pagnani, A., Pérez Castillo, I. (2019)
    Nonconvex image reconstruction via expectation propagation. Physical Review E 100(3) 032134
  • Nota, A., Winter, R., and Lods, B. (2019)
    Kinetic description of a Rayleigh Gas with annihilation, Journal of Statistical Physics 176, 1434-462
  • Rigon, T., Durante, D. and Torelli, N. (2019)
    Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions,
    Journal of the Royal Statistical Society, Series A 182(1), 225-247.
  • Rossini, J., Canale, A., (2019)
    Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints,
    Journal of Multivariate Analysis, 170, 221-231
  • Venturini, S., Mehmetoglu, M. (2019)
    plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares. Journal of Statistical Software 88(8) 1-35
  • Zanella, G., and G.O. Roberts (2019)
    Scalable Importance Tempering and Bayesian Variable Selection. Journal of the Royal Statistical Society: Series B 81, 489-517.
  • Zamparo, M., Dall’Asta, L., Gamba, A. (2019)
    On the Mean Residence Time in Stochastic Lattice-Gas Models. Journal of Statistical Physics 174, 120-134



  • Anzarut, M., Mena, R.H., Nava, C., and Prünster, I. (2018)
    Poisson driven stationary Markov models. Journal of Business and Economic Statistics 36, 684-694
  • Alonso, R, Bagland, V., Cheng, Y., and Lods, B. (2018)
    One-dimensional dissipative Boltzmann equation: measure solutions, cooling rate, and self-similar profile.
    SIAM Journal of Mathematical Analysis 50, 1278-1321.
  • Argiento R., Ruggiero, M. (2017)
    Computational challenges and temporal dependence in Bayesian nonparametric models.
    Statistical Methods and Applications, 27, pp 231-238
  • Bibbona E., Pistone G., and Gasparini M. (2018)
    The Empirical Identity Process: asymptotics and applications.
    Canadian Journal of Statistics 46(4) 654-672
  • Bray J.P., Reich J., Nichols S.J., Kon Kam King G., Mac Nally R., Thompson R., O’Reilly-Nugent A., Kefford B. (2018)
    Biological interactions mediate context and species-specific sensitivities to salinity.
    Philosphical Transactions of the Royal Society B: Biological Sciences 374: 2018.0020.
  • Camerlenghi, F., Lijoi, A. and Prünster, I. (2018)
    Bayesian  nonparametric inference beyond the Gibbs-type framework.
    Scandinavian Journal of Statistics, 45, 1062-1091.
  • Canale, A., Durante, D., Dunson, D. (2018), Convex Mixture Regression
    for Quantitative Risk Assessment, Biometrics, 74, 1331-1340
  • Canale, A., Durante, D., Paci, L., Scarpa, B. (2018) Connecting
    statistical brains, Significance, 15, 38-40
  • Canizo, J., Einav, A., and Lods, B. (2018)
    On the rate of convergence to equilibrium for the linear Boltzmann equation with soft potentials.
    Journal of Mathematical Analysis and Applications 462, 801-839.
  • Kume, A., Leisen, F. and Lijoi, A. (2018)
    Limiting behaviour of the  stationary search cost distribution driven by a generalized gamma  process.
    Electronic Communications in Probability, 23, 1-10.
  • Malagò L., Montrucchio L., and Pistone G. (2018)
    Wasserstein-Riemannian Geometry of Positive-definite Matrices
    Information Geometry 2018 1(2) 137-179
  • Montagna, S., Wager, T., Barrett-Feldman, L., Johnson, T. D., Nichols, T. E. (2018)
    Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data,
    Biometrics 74, 342-353
  • Montagna, S. and Hopker, J. (2018)
    A Bayesian Approach for the Use of Athlete Performance Data Within Anti-doping.
    Frontiers in Physiology 9, 884.
  • Nipoti, B., Jara, A. and Guindani, M. (2018)
    A Bayesian semiparametric partially PH model for clustered time-to-event data.
    Scandinavian Journal of Statistics, 45, 1016-1035
  • Nipoti, B. and Shen, W. (2018)
    Contributed comment on Wade and Ghahramani’s article.
    Bayesian Analysis, 13(2), 613-615.
  • Pistone G. (2018)
    Lagrangian Function on the Finite State Space Statistical Bundle
    Entropy 20, 139
  • Ruggiero, M. and Sordello, M. (2018)
    Clustering dynamics in a class of normalised generalised gamma dependent priors.
    Annals of the Institute of Statistical Mathematics 70, 83-98.
  • Vicario G., and Pistone G. (2018)
    Simulated variogram-based error inspection of manufactured parts
    Statistical Papers 59 1411-1423



  • Arbel, J., and Prünster, I. (2017)
    A moment-matching Ferguson & Klass algortihm. Statistics and Computing 27, 3-17
  • Arbel, J., Favaro, S., Nipoti, B. and Teh, Y.W. (2017)
    Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics.
    Statistica Sinica 27, 839-858.
  • Argiento, R., Guglielmi, A., Lanzarone, E., Nawajah, I. (2017)
    Joint prediction of health status and demand for patient in home care services: a Bayesian approach.
    IMA Journal of Management Mathematics, 28 (4), 531-552
  • Bacallado, S., Battiston, M., Favaro, S. and Trippa, L. (2017)
    “Sufficientness” postulates for Gibbs-type priors and hierarchial generalizations.
    Statistical Science 32, 487-500.
  • Barcella, W., De Iorio, M., Favaro, S. and Rosner, G. (2018)
    Dependent generalized Dirichlet priors for the analysis of acute lymphoblastic leukaemia.
    Biostatistics, to appear.
  • Battiston, M. and Favaro, S. (2017)
    Discussion of “Sparse graphs using exchangeable random measures” by F. Caron and E.B. Fox.
    Journal of the Royal Statistical Society Series B 79, 1343-1344.
  • Battiston, M., Favaro, S., Roy, D.M. and Teh, Y.W. (2018)
    A characterization of product-form exchangeable feature probability functions.
    The Annals of Applied Probability, to appear.
  • Battiston, M., Favaro, S. and Teh, Y.W. (2018)
    Multi-armed bandits for species discovery: a Bayesian nonparametric approach.
    Journal of the American Statistical Association, to appear
  • Bindi J., Braunstein, A., and Dall’Asta, L. (2017)
    Predicting epidemic evolution on contact networks from partial observations
    PloS one 12 (4),
  • Braunstein A., Muntoni A.P., and Pagnani, A. (2017)
    An analytic approximation of the feasible space of metabolic networks
    Nature Communications 8
  • Braunstein, A:, Lage-Castellanos, A., and Ortega, E. (2017)
    Contamination source inference in water distribution networks
    Revista Cubana de Física, 34 (2).
  • Brigo G. and Pistone G. (2017)
    Dimensionality reduction for measure valued evolution equations in statistical manifolds.
    Computational Information Geometry (F. Nielsen, F. Critchley, C.T.J. Dodson Ed.s). Springer  pp 217-265,
  • Camerlenghi, F., Lijoi, A., and Prünster, I. (2017)
    Bayesian prediction with multiple-samples information.
    Journal of Multivariariate Analysis 156, 18-28.
  • Canale, A., (2017)
    msBP: An R package to perform Bayesian nonparametric inference using multiscale Bernstein Polynomials mixtures
    Journal of Statistical Software, 78, 6, 1-19
  • Canale, A., De Blasi, P., (2017)
    Posterior asymptotics of nonparametric location-scale mixtures for multivariate density estimation
    Bernoulli, 23, 379-404
  • Canale, A., Pruenster, I., (2017)
    Robustifying Bayesian nonparametric mixtures for count data
    Biometrics, 73, 174-184
  • Canale, A., Lijoi, A., Nipoti, B., and Prünster, I. (2017)
    On the Pitman-Yor process with spiake and slab base measure.
    Biometrika 104, 681-697..
  • Canizo, J. A., Einav, A., and Lods, B. (2017)
    Trend to equilibrium for the Becker-Döring equations : an analogue of Cercignani’s conjecture.
    Analysis & PDE 10, 1663-1708.
  • Costantini, C., De Blasi, P., Ethier, S.N., Ruggiero, M., Spanò, D. (2017).-
    Wright-Fisher construction of the two parameter Poisson-Dirichlet diffusion.
    The Annals of Applied Probability 27, 1923-1950.
  • De Blasi, P., Schweder, T. (2017).
    Confidence distributions from likelihoods by median correction.
    Journal of Statistical Planning and Inference, to appear.
  • Lijoi, A., Mena, R.H., and Prünster, I. (2017)
    Discussion of “Sparse graphs using exchangeable random measures” by F. Caron and E. Fox.
    Journal of the Royal Statistical Society-Series B 79, 1353.
  • Lomeli, M., Favaro, S. and Teh, Y.W. (2017)
    A marginal sampler for sigma-stable Poisson-Kingman mixture models.
    Journal of Computational and Graphical Statistics 26, 44-53.
  • Mokhtar-Kharroubi, M., and Lods, B. (2017)
    Convergence to equilibrium for linear spatially homogeneous Boltzmann equation with hard and soft potentials : a semigroup approach in L1-spaces.
    Mathematical Methods in Applied Sciences 40, 6527-6555.
  • Montagna S., Wager T., Feldman Barrett L., Johnson T. D., & Nichols T. E. (2017).
    Spatial Bayesian Latent Factor Regression Modelling of Coordinate-based Meta-analysis Data.
    Biometrics, To appear.
  • Montrucchio L. and Pistone G. (2017)
    Deformed exponential bundle: the linear growth case.
    Geometric Science of Information. Nielsen, Frank, Barbaresco, Frédéric (Eds.). Springer pp. 239-246.
  • Pistone G. (2017)
    Translations in the exponential Orlicz space with Gaussian weight.
    Geometric Science of Information. (Nielsen, F., Barbaresco, F. Eds.) Springer pp. 569-576.
  • Ren, B., Bacallado, S., Favaro, S. Holmes, S. and Trippa, L. (2017)
    Bayesian nonparametric ordination for the analysis of microbial communities.
    Journal of the American Statistical Association 112, 1430-1442.
  • Samartsidis P., Montagna S., Nichols T. E., & Johnson T. D. (2017).
    The Coordinate-based Meta-analysis of Neuroimaging Data.
    Statistical Science. To appear
  • Wadsworth W.D., Argiento R., Guindani M., Galloway-Pena J., Shelbourne S.A., Vannucci M. (2017).
    An integrative Bayesian Dirichlet-multinomial regression model for the analysis of es in microbiome data.
    BMC Bioinformatics, 18, 1-12,
  • Wang, C., Hsiao, K., Ruggeri, F., Argiento, R. (2017)
    Bayesian Nonparametric Clustering and Association Studies for Candidate SNP Observations.
    International Journal of Approximate Reasoning, 80, 19-35
  • Zanella, G., Kendall, W.S., and Bedard , M. (2017)
    A Dirichlet Form approach to MCMC optimal scaling.
    Stochastic Processes and their Applications, 127(12), 4053-4082.



  • Arbel, J., Lijoi, A., and Nipoti, B. (2016)
    Full Bayesian inference with hazard mixture models.
    Computational Statistics and Data Analysis 93, 359-372.
  • Arbel, J., and Robert, C.P. (2016)
    Discussion of “Statistical modelling of citation exchange between statistics journals” by Varin, Cattelan and Firth.
    Journal of the Royal Statistical Society. Series A, in press.
  • Bacallado, S., Favaro, S., and Trippa, L. (2016)
    Bayesian regularization of the lenght of memory in reversible sequences.
    Journal of the Royal Statistical Society Series B, 78, 933-946..
  • Braunstein A., Dall’Asta L., Semerjian G., and Zdeborová, L. (2016)
    Network dismantling
    Proceedings of the National Academy of Sciences, 201605083
  • Braunstein A., and Muntoni A. (2016)
    Practical optimization of Steiner trees via the cavity method
    Journal of Statistical Mechanics: Theory and Experiment 2016 7,
  • Braunstein A., Dall’Asta L., Semerjian G., and Zdeborová L. (2016)
    The large deviations of the whitening process in random constraint satisfaction problems
    Journal of Statistical Mechanics: Theory and Experiment 5,
  • Bisaglia, L. and Canale, A. (2016)
    Bayesian nonparametric forecasting for INAR models.
    Computational Statistics and Data Analysis, in press.
  • Canale, A. (2016)
    A note on regions of given probability for the extended skew-normal distribution.
    Communications in Statistics 44, 2507-2516.
  • Canale, A., and Dunson, D. (2016)
    Multiscale Bernstein polynomials for densities.
    Statistica Sinica , in press.
  • Canale, A., and Scarpa, B. (2016)
    Bayesian nonparametric location-scale-shape mixtures.
    Test , in press.
  • Canizo, J. A. and Lods, B. (2016)Exponential trend to equilibrium for the inelastic Boltzmann equation driven by a particle bath.Nonlinearity 29, 1687-1716.
  • Favaro, S., and James, L.F. (2016)
    Relatives of the Ewens sampling formula in Bayesian nonparametrics.
    Statistical Science, 31, 30-33.
  • Favaro, S., Lijoi, A., Nava, C., Nipoti, B., Prünster, I., and Teh, Y.W.(2016)
    On the stick-breaking representation for homogeneous NRMIs.
    Bayesian Analysis, 11(3), 697-724.
  • Favaro, S., Nipoti, B., and Teh, Y.W.(2016)
    Rediscovery of Good-Turing estimators via Bayesian nonparametrics.
    Biometrics, 72, 136-145.
  • Kenne Pagui, E. C., and Canale, A. (2016)
    Pairwise likelihood inference for the analysis of multivariate categorical responses.
    Applied Stochastic Models in Business and Industry , in press.
  • Gutierrez, L., Mena, R.H., and Ruggiero, M. (2016)
    A time dependent Bayesian nonparametric model for air quality analysis.
    Computational Statistics and Data Analysis 95, 161-175.
  • Lijoi, A., Muliere, P., Prünster, I., and Taddei, F. (2016)
    Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective.
    Electronic Journal of Statistics 10, 2179-2203.
  • Lomeli, M., Favaro, S. , and Teh, Y.W. (2016)
    A marginal sampler for sigma-stable Poisson-Kingman mixture models.
    Journal of Computational and Graphical Statistics, in press.
  • Mena, R.H., and Ruggiero, M. (2016)
    Dynamic density estimation with diffusive Dirichlet mixtures.
    Bernoulli 22, 901-926.
  • Menichetti, G., Dall’Asta, L. and Bianconi, G. (2016)
    Control of Multilayer Networks
    Sci. Rep., in press.
  • Pistone G., Vicario G. (2016)
    A note on Semivariogram.
    Topics on Methodological and Applied Statistical Inference (T. Di Battista, E. Moreno, W. Racugno Eds). Springer, 181-190.
  • Vicario G., Craparotta C., and Pistone G. (2016)
    Meta-models in computer experiments: kriging vs artificial neural networks
    Quality and Reliability Engineering International 32, 2055-2065.



  • Altarelli, F., Braunstein, A., Dall’Asta, L. (2015)
    Statics and dynamics of selfish interactions in distributed service systems.
    PLoS ONE 10, e0119286.
  • Altarelli, F., Braunstein, A., Dall’Asta, L., De Bacco, C. and Franz, S. (2015)
    The edge-disjoint path problem on random graphs by message-passing.
    PLoS ONE 10(12): e0145222.
  • Arbel, J., Mengersen, K., Raymond, B., Winsley, T., and King, C. (2015)
    Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel contaminated soil.
    Ecology and Evolution 5, 2633-2645.
  • Arbel, J., and Prünster, I. (2015)
    Discussion of “Sequential quasi-Monte Carlo sampling” by M. Gerber and N. Chopin.
    Journal of the Royal Statistical Society. Series B 77, 559-560.
  • Bacallado, S., Favaro, S., and Trippa, L. (2015)
    Looking-backward probabilities for Gibbs-type exchangeable random partitions.
    Bernoulli 21, 1-37.
  • Baldassi, C. and Braunstein (2015)
    A Max-Sum Algorithm for Training Discrete Neural Networks.
    Journal of Statistical Mechanics: Theory and Experiment 8, P08008.
  • Baldassi, C., Braunstein, A. Ramezanpour, A., and Zecchina, R. (2015)
    Statistical Physics and Network Optimization Problems.
    Mathematical Foundations of Complex Networked Information Systems, 27-49.
  • Bagland, V. and Lods, B. (2015)
    Uniqueness of the self-similar profile for a kinetic annihilation model.
    Journal of Differential Equations 259, 7012-7059.
  • Bisi, M., Canizo, J.A., and Lods, B. (2015)
    Entropy dissipation estimates for the linear Boltzmann operator.
    Journal of Functional Analysis 269, 1028-1069.
  • Camerlenghi, F., and Villa, E. (2015)
    Optimal bandwidth of the ?Minkowski content?-based estimator of the mean density of random closed sets: theoretical results and numerical experiments.
    J. Math. Imaging Vision 53, 264?287.
  • Canale, A., and Dunson, D. (2015)
    Bayesian multivariate mixed-scale density estimation.
    Statistics and its Interface 8, 195-201.
  • Canale, A., and Lunardon, N. (2015)
    Churn prediction in telecommunications industry. A study based on Bagging classifiers.
    Statistica Applicata – Italian Journal of Applied Statistics 24, 279-290.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M., and Montrucchio, L.(2015)
    Choquet integration on Riesz spaces and dual comonotonicity.
    Transactions of the American Mathematical Society 367, 8521-8542.
  • De Blasi, P., Favaro, S., Lijoi, A., Mena, R., Prünster, I., and Ruggiero, M.(2015)
    Are Gibbs-type priors the most natural generalization of the Dirichlet process?
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37, 212-229.
  • De Iorio, M., Favaro, S. , and Teh, Y.W. (2015)
    Bayesian inference on population structure: from parametric to nonparametric modeling.
    In Nonparametric Bayesian inference in biostatistics, Mitra R. and Mueller P. ed.s, Springer, p. 135-151.
  • Favaro, S. , and Feng, S. (2015)
    Large deviation principles for the Ewens-Pitman sampling model..
    Electronic Journal of Probability 20, 1-27.
  • Favaro, S. , Lomeli, M., and Teh, Y.W. (2015)
    On a class of sigma-stable Poisson-Kingman models and an effective marginalized sampler.
    Statistics and Computing 25, 67-78.
  • Favaro, S., Nipoti, B., and Teh, Y.W.(2015)
    Random variate generation for Laguerre-type exponentially tilted alpha-stable distributions.
    Electronic Journal of Statistics 9, 1230-1242.
  • Lods, B., and Pistone, G. (2015)
    Information geometry formalism for the spatially homogeneous Boltzmann equation.
    Entropy 17, 4223-4263.
  • Lombardo, P., Gambassi, A., and Dall’Asta, L. (2015)
    Fixation properties of subdivided populations with balancing selection.
    Phys. Rev. E 91, 032130.
  • Lomeli, M., Favaro, S. , and Teh, Y.W. (2015)
    A hybrid sampler for Poisson-Kingman mixture models.
    Advances in Neural Information Processing Systems.
  • Malago?, L., and Pistone, G. (2015)
    Gradient flow of the stochastic relexation on a generic exponential family.
    Bayesian inference and maximum entropy methods in science and engineering. AIP Conference Proceedings, 353-360.
  • Malago?, L. and Pistone, G. (2015)
    Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family.
    Entropy 17, 4215-4254.
  • Malago?, L., and Pistone, G. (2015)
    Second-order optimization over the multivariate gaussian distribution.
    In Geometric Science of Information, F. Barbaresco and F. Nielsen ed.s, Springer LNCS 9389, p. 349-358.



  • Alonso, R. J. and Lods, B. (2014)
    Boltzmann model for viscoelastic particles: asymptotic behavior, pointwise lower bounds and regularity.
    Communications in Mathematical Physics 331, 545-591.
  • Altarelli, F., Braunstein, A., Dall’Asta, L., Lage-Castellanos, A. and Zecchina, R. (2014)
    Bayesian inference of Epidemics on networks via belief propagation.
    Phys. Rev. Lett. 112, 118701.
  • Altarelli, F., Braunstein, A., Dall’Asta, L., Ingrosso, A. and Zecchina, R.(2014)
    The patient-zero problem with noisy observations.
    Journal of Statistical Mechanics: Theory and Experiment 10, 10016.
  • Altarelli, F., Braunstein, A., Dall’Asta, L., Wakeling, J.R. and Zecchina, R.(2014)
    Containing epidemic outbreaks by message-passing techniques.
    Phys. Rev. X 4, 021024.
  • Arbel, J., Gayraud, G. and Rousseau, J. (2014)
    Bayesian optimal adaptive estimation using a sieve prior.
    Scandinavian Journal of Statistics 40, 549-570.
  • Arlotti, L. and Lods, B. (2014)
    Transport semigroup associated to positive boundary conditions of unit norm: a Dyson-Phillips approach.
    Discrete and Continuous Dynamical Systems, Series B 19, 2739-2766.
  • Arlotti, L., Lods, B. and Mokhtar-Kharroubi, M. (2014)
    Non-autonomous honesty theory for positive evolution families in abstract state spaces with applications to linear kinetic equations.
    Communications on Pure and Applied Analysis 13, 729-771.
  • Cesari, O., Favaro, S., and Nipoti, B. (2014)
    Posterior analysis of rare variants in Gibbs-type species sampling models.
    Journal of Multivariate Analysis 231, 79-98.
  • El-Dakkak, O., Peccati, G., Prünster, I. (2014)
    Exchangeable Hoeffding-decomposition over finite sets: a combinatorial characterization and counterexamples.
    Journal of Multivariate Analysis 131, 51-64.
  • Fassino C., Pistone G., and Riccomagno E. (2014)
    The algebra of interpolatory cubature formulae for generic nodes.
    Statistics and Computing 24, 615-632.
  • Favaro, S. and Feng, S. (2014)
    Asymptotics for the number of blocks in a conditional Ewens-Pitman sampling model.
    Electronic Journal of Probability 19, 1-15.
  • Favaro, S., Lomeli, M., Nipoti, B. , and Teh, Y.W. (2014)
    On the stick-breaking representation of sigma-stable Poisson-Kingman models.
    Electronic Journal of Statistics 8, 1063-1085.
  • Favaro, S., and Nipoti, B. (2014)
    Discussion of “On simulation and properties of stable law” by L. Devroye and L.F. James.
    Statistical Methods and Applications 23, 365-369.
  • Lijoi, A. and Nipoti, B. (2014)
    A class of hazard rate mixtures for combining survival data from different experiments.
    Journal of the American Statistical Association 109, 802-814.
  • Lijoi, A., Nipoti, B. and Prünster, I. (2014)
    Bayesian inference with dependent normalized completely random measures.
    Bernoulli 20, 1260-1291.
  • Lijoi, A., Nipoti, B. and Prünster, I. (2014)
    Dependent mixture models: clustering and borrowing information.
    Computational Statistics and Data Analysis 71, 417-433.
  • Lijoi, A. and Prünster, I. (2014)
    Discussion of “On simulation and properties of stable law” by L. Devroye and L.F. James.
    Statistical Methods and Applications 23, 371-377.
  • Lombardo, P., Gambassi, A., and Dall’Asta, L. (2014)
    Nonmonotonic effects of migration in subdivided populations.
    Phys. Rev. Lett. 112, 148101.
  • Malago’ and Pistone, G. (2014)
    Combinatorial optimization with information geometry: Newton Method.
    Entropy 16, 4260-4289.
  • Menichetti, G., Dall’Asta, L., and Bianconi, G. (2014)
    Network Controllability is determined by the density of low in-degree and out-degree nodes.
    Phys. Rev. Lett. 113, 078701.
  • Molinelli, E.J. , Korkut, A., Wang, W.-Q., Miller, M. L., Gauthier, N. P., Jing, X., Kaushik, P., He, Q., Mills, G., Solit, D. B., Pratilas C. A., Weigt, M., Braunstein, A., Pagnani, A., Zecchina, R., Sander, C. (2014)
    Perturbation Biology: inferring signaling networks in cellular systems.
    PLOS Computational Biology 9, e1003290.
  • Papaspiliopoulos, O. and Ruggiero, M. (2014)
    Optimal filtering and the dual process.
    Bernoulli 20, 1999-2019.
  • Ruggiero, M. (2014)
    Species dynamics in the two-parameter Poisson-Dirichlet diffusion model.
    Journal of Applied Probability 51, 174-190.



  • Ala, U., Karreth, F. A. , Bosia, C., Pagnani, A., Taulli, R., Léopold, V., Tay, Y., Provero, P., Zecchina, R., and Pandolfi (2013)
    Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments.
    Proceedings of the National Academy of Sciences 110, 7154.
  • Alonso, R.J. and Lods, B. (2013)
    Two proofs of Haff’s law for dissipative gases: the use of entropy and the weakly inelastic regime.
    Journal of Mathematical Analysis and Applications 397, 260-275.
  • Alonso, R.J. and Lods, B. (2013)
    Uniqueness and regularity of steady states of the Boltzmann equation for visco-elastic hard-spheres driven by a thermal bath.
    Communications in Mathematical Sciences 11, 851-906.
  • Altarelli, F., Braunstein, A., DallÕAsta, L. and Zecchina, R. (2013)
    Large deviations of cascade processes on graphs.
    Physical Review E 87, 062115.
  • Altarelli, F., Braunstein, A., DallÕAsta, L. and Zecchina, R. (2013)
    Optimizing spread dynamics on graphs by message passing.
    Journal of Statistical Mechanics: Theory and Experiment (09), P09011.
  • Arbel, J. and Nipoti, B. (2013)
    Discussion on Mueller and Mitra’s Bayesian nonparametric inference – why and how.
    Bayesian Analysis 8, 323-356.
  • Bacallado, S., Favaro, S. and Trippa, L. (2013)
    Bayesian nonparametric analysis of reversible Markov chains.
    The Annals of Statistics 41, 870-896.
  • Bagland, V. and Lods, B. (2013)
    Existence of self-similar profile for a kinetic annihilation model.
    Journal of Differential Equations 254, 3023-3080.
  • Baldassi, C., Alemi-Neissi A., Pagan, M., DiCarlo J. J., Zecchina, R., and Zoccolan, D. (2013)
    Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons.
    PLOS Computational Biology 9, e1003167.
  • Baldassi C., Braunstein A., Zecchina R. (2013)
    Theory and learning protocols for the material tempotron model.
    Journal of Statistical Mechanics: Theory and Experiment 12, P12013.
  • Barrios, E., Lijoi, A., Nieto-Barajas, L.E. and Prünster, I. (2013)
    Modeling with normalized random measure mixture models.
    Statistical Science 28, 313-334.
  • Bellettini, G., Taddei, F. and Zanella G. (2013)
    Bequest taxes, donations, and house prices.
    BE Journal of Macroeconomics 13, 355-379.
  • Caccioli, F., Dall’Asta, L., Galla, T. and Rogers, T. (2013)
    Voter models with conserved dynamics.
    Physical Review E 87, 052114.
  • Canale, A. and Dunson, D.B. (2013)
    Nonparametric Bayes modelling of count processes.
    Biometrika 100, 801-816.
  • Ca–izo, J.A. and Lods, B. (2013)
    Exponential convergence to equilibrium for subcritical solutions of the Becker-Döring equations.
    Journal of Differential Equations 255, 905-950.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M., Montrucchio, L. (2013).
    Ambiguity and robust statistics.
    Journal of Economic Theory 148, 974-1049.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M., Montrucchio, L. (2013).
    Classical Subjective Expected Utility.
    Proceedings of the National Academy of Sciences 110, 6754-6759.
  • Dall’Asta, L., Caccioli, F. and Beghè, D. (2013)
    Fixation-coexistence transition in spatial populations.
    Europhysics Letters 101, 18003.
  • De Blasi, P. (2013)
    Discussion on article “Bayesian inference with misspecified models” by Stephen G. Walker.
    Journal of Statistical Planning and Inference 143, 1634-1637.
  • De Blasi, P., Lijoi, A. and Prünster, I. (2013)
    An asymptotic analysis of a class of discrete nonparametric priors.
    Statistica Sinica 23, 1299-1322.
  • De Blasi, P. and Walker, S.G. (2013)
    Bayesian estimation of the discrepancy with misspecified parametric models.
    Bayesian Analysis 8, 781-800.
  • De Blasi, P. and Walker, S.G. (2013)
    Bayesian asymptotics with misspecified models.
    Statistica Sinica 23, 169-187.
  • Favaro, S.Lijoi, A. and Prünster, I. (2013)
    Conditional formulae for Gibbs-type exchangeable random partitions.
    The Annals of Applied Probability 23, 1721-1754.
  • Favaro, S. and Teh, Y.W. (2013)
    MCMC for normalized random measure mixture models.
    Statistical Science 28, 335-359.
  • Favaro, S. and Walker, S.G. (2013)
    Slice sampling sigma-stable Poisson-Kingman models.
    Journal of Computational and Graphical Statistics 22, 830-847.
  • Gitter A., Braunstein A., Pagnani A., Baldassi C., Borgs C., Chayes, J., Zecchina R., Fraenkel E. (2013)
    Sharing information to reconstruct patient-specific pathways in heterogeneous diseases.
    Pacific Symposium on Biocomputing, 19, 39-50.
  • Leisen, F., Lijoi, A. and Spanò, D. (2013).
    A vector of Dirichlet processes.
    Electronic Journal of Statistics 7, 62-90.
  • Malago’, L., Matteucci, M. and Pistone, G. (2013)
    Natural gradient, fitness modelling and model selection: a unifying perspective.
    IEEE Congress on Evolutionary Computation 486-493.
  • Martin, A., and Taddei F. (2013)
    International capital flows and credit market imperfections: a tale of two frictions.
    Journal of International Economics 89, 441-452.
  • Neri, F., Incarnato, D., Krepelova, A., Rapelli, S., Pagnani, A., Zecchina, R., Parlato, C., Oliviero, S. (2013)
    Genome-wide analysis identifies a functional association of Tet1 and Polycomb PRC2 in mouse embryonic stem cells.
    Genome Biology 14, R91.
  • Pistone, G. and Rogantin, M.P. (2013)
    The algebra of reversible Markov chains.
    Annals of the Institute of Statistical Mathematics 65, 269-293.
  • Pistone G. and Vicario G. (2013)
    Kriging prediction from a circular grid: application to wafer diffusion.
    Applied Stochastic Models in Business and Industry 29(4), 350-361.
  • Pistone G. (2013)
    Examples of the application of nonparametric information geometry to statistical physics.
    Entropy 15, 4042-4065.
  • Prünster, I. and Ruggiero, M. (2013)
    A Bayesian nonparametric approach to modeling market share dynamics.
    Bernoulli 19, 64-92.
  • Ruggiero, M., Walker, S.G. and Favaro, S. (2013)
    Alpha-diversity processes and normalized inverse-Gaussian diffusions.
    The Annals of Applied Probability 23, 386-425.
  • Tuncbag, N., Braunstein, A., Pagnani, A., Huang, S.S.C. , Chayes, J., Borgs, C., Zecchina, R., Fraenkel, E. (2013)
    Simultaneous reconstruction of multiple signaling pathways via the prize-collecting Steiner forest problem.
    Journal of Computational Biology 20 (2), 124-136.



  • Biazzo, I., Braunstein, A. and Zecchina, R. (2012)
    Performance of a cavity-method-based algorithm for the prize-collecting Steiner tree problem on graphs.
    Physical Review E 86 (2), 026706.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci. M. and Montrucchio, L. (2012)
    Probabilistic sophistication, second order stochastic dominance and uncertainty aversion.
    Journal of Mathematical Economics, 48, 271-283, 2012.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci. M. and Montrucchio, L. (2012)
    Signed Integral Representations of Comonotonic Additive Functionals.
    Journal of Mathematical Analysis and Applications, 385, 95-912.
  • Dall’Asta, L., Marsili, M. and Pin, P. (2012)
    Collaboration in social networks.
    Proceedings of the National Academy of Sciences 109, 4395-4400.
  • De Martino, D., Bradde, S., Dall’Asta, L. and Marsili, M. (2012)
    Topology-induced inverse phase transitions.
    Europhysics Letters 98, 40004.
  • Favaro, S., Guglielmi, A. and Walker, S.G. (2012)
    A class of measure-valued Markov chains and Bayesian nonparametrics.
    Bernoulli 18, 1002-1030.
  • Favaro, S.Lijoi, A. and Prünster, I. (2012)
    On the stick-breaking representation on normalized inverse Gaussian priors.
    Biometrika 99, 663-674.
  • Favaro, S.Lijoi, A. and Prünster, I. (2012)
    A new estimator of the discovery probability.
    Biometrics 68, 1188-1196.
  • Favaro, S.Lijoi, A. and Prünster, I. (2012)
    Asymptotics for a Bayesian nonparametric estimator of species richness.
    Bernoulli 18, 1267-1283.
  • Favaro, S.Prünster, I. and Walker, S.G. (2012)
    On a generalized Chu-Vandermonde identity,
    Methodology and Computing in Applied Probability 14, 253-262.
  • Marinacci, M. and Montrucchio, L. (2012)
    Finitely well-positioned sets.
    Journal of Convex Analysis 19, 249-279.
  • Ramezanpour, A. and Zecchina, R. (2012)
    Cavity approach to sphere packing in Hamming space.
    Physical Review E 85.
  • Ramezanpour, A. and Zecchina, R. (2012)
    Sign problem in the Bethe approximation
    Physical Review B 86.
  • Realpe-Gomez, J., Szczesny, B., Dall’Asta, L. and Galla, T. (2012)
    Fixation and escape times in stochastic game learning.
    Journal of Statistical Mechanics, P10022.
  • Tetenov, A. (2012)
    Statistical Treatment Choice Based on Asymmetric Minimax Regret Criteria.
    Journal of Econometrics 166, 157-165.
  • Trippa, L. and Favaro, S. (2012)
    A class of normalized random measures with an exact predictive sampling scheme.
    Scandinavian Journal of Statistics 39, 444-460.
  • Zhang, P., Ramezanpour, A., Zdeborova, L and Zecchina, R. (2012)
    Message passing for quantified Boolean formulas.
    Journal of Statistical Mechanics P05025.



  • Altarelli, F.Braunstein, A., Ramezanpour, A., Zecchina, R. (2011)
    Stochastic Matching Problem.
    Physical Review Letters 106:190601.
  • Arlotti, L., Banasiak, J. and Lods, B. (2011)
    On general transport equations with abstract boundary conditions. The case of divergence free force field.
    Mediterranean Journal of Mathematics 8, 1-35.
  • Arlotti, L., Lods, B. and Mokhtar-Kharroubi, M. (2011)
    On perturbed substochastic semigroups in abstract state spaces.
    Zeitschrift für Analysis und ihre Anwendungen 30, 457-495.
  • Bisi, M., Cañizo, J.A. and Lods, B. (2011)
    Uniqueness in the weakly inelastic regime of the equilibrium state to the Boltzmann equation driven by a particle bath.
    SIAM Journal of Mathematical Analysis, 43, 2640-2674.
  • Braunstein, A., Kayhan, F., Zecchina, R. (2011)
    Efficient data compression from statistical physics of codes over finite fields.
    Physical Review E. 2011;84:051111.
  • Braunstein, A., Ramezanpour, A., Zecchina, R., Zhang, P. (2011)
    Inference and learning in sparse systems with multiple states.
    Physical Review E 83:056114.
  • Canale, A. (2011)
    Statistical aspects in the extended skew-normal model.
    Metron, LXIX, 279-295.
  • Canale, A., Dunson, D.B. (2011)
    Bayesian Kernel Mixtures for Counts.
    Journal of American Statistical Association, 106, 1528-1539.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M. and Montrucchio, L. (2011)
    Complete Monotone Quasiconcave Duality.
    Mathematics of Operations Research, 36, 321-339.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M. and Montrucchio, L. (2011)
    Uncertainty averse preferences.
    Journal of Economic Theory, 146, 1275-1330.
  • Dall’Asta, L., Pin, P. and Ramezanpour, A. (2011)
    Optimal equilibria of the best shot game.
    Journal of Public Economic Theory 13, 885-901.
  • Favaro, S., Hadjicharalambous, G. and Prünster, I. (2011)
    On a class of distributions on the simplex.
    Journal of Statistical Planning and inference 141, 2987-3004.
  • Favaro, S.Prünster, I. and Walker, S. G. (2011)
    On a class of random probability measures with general predictive structure.
    Scandinavian Journal of Statistics 38, 359-376.
  • Leisen, F. and Lijoi, A. (2011)
    Vectors of two-parameter Poisson-Dirichlet processes.
    Journal of Multivariate Analysis 102, 482-496.
  • Leisen, F., Lijoi, A. and Paroissin, C. (2011)
    Limiting behaviour of the search cost distribution for the move-to-front rule in the stable case.
    Statistics and Probability Letters 81, 1827-1832.
  • Lijoi, A. and Prünster, I. (2011)
    A conversation with Eugenio Regazzini.
    Statistical Science 26, 647-672.
  • Marinacci, M. and Montrucchio, L. (2011)
    Necessary and sufficient conditions for optima in relexive spaces.
    SIAM Journal on Optimization, 21, 174-192.
  • Mena, R.H., Ruggiero, M. and Walker, S.G. (2011)
    Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling.
    Journal of Statistical Planning and Inference 141, 3217-3230.
  • Ricca, R.L. and Nipoti, B. (2011)
    Gauss’ linking number revisited.
    Journal of Knot Theory and Its Ramifications 20, 1325-1343.



  • Alonso, R.J. and Lods, B. (2010)
    Free cooling and high-energy tails of granular gases with variable restitution coefficient.
    SIAM Journal of Mathematical Analysis 42, 2499-2538.
  • Amarante, M. and Montrucchio, L. (2010)
    The bargaining set of a large game.
    Economic Theory, 43, 313-349.
  • Bailly-Bechet, M., Borgs, C., Braunstein, A., Chayes, J., Dagkessamanskaia, A., François, J.M. and Zecchina, R. (2010) Finding undetected protein associations in cell signaling by belief propagation.
    Proceedings of the National Academy of Sciences. 108(2):882-7.
  • Bailly-Bechet, M., Braunstein, A., Pagnani, A., Weigt, M. and Zecchina R. (2010)
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach.
    BMC bioinformatics 11, 355.
  • Bradde, S., Braunstein, A., Mahmoudi, H., Tria, F., Weigt, M. and Zecchina, R. (2010)
    Aligning graphs and finding substructures by a cavity approach.
    Europhysics Letters 89, 37009.
  • Cerreia-Vioglio, S., Maccheroni, F., Marinacci, M. and Montrucchio, L. (2010)
    Risk measures: rationality and diversification.
    Mathematical Finance 21, 743-774.
  • De Blasi, P., James, L.F. and Lau, J.W. (2010)
    Bayesian nonparametric estimation and consistency of Mixed Multinomial Logit choice models.
    Bernoulli 16, 679-704.
  • De Blasi, P. Favaro, S. and Muliere, P. (2010)
    A class of neutral to the right priors induced by superposition of beta processes.
    Journal of Statistical Planning and Inference 140, 1563-1575.
  • Epifani, I. and Lijoi, A. (2010)
    Nonparametric priors for vectors of survival functions.
    Statistica Sinica 20, 1455-1484.
  • Favaro, S. and Walker, S. G. (2010)
    On the distribution of sums of Exponential random variables via Wilks’ integral representation.
    Acta Applicandae Mathematicae 109, 1035-1042.
  • Fontana, R. and Pistone, G. (2010)
    2-level fractional factorial designs which are the union of non trivial regular designs.
    Journal Of Statistical Theory And Practice 4, 181-202.
  • Fontana, R. and Pistone, G. (2010)
    Anticipating italian census tourism data before their official release: a first solution and its implementation to piemonte, Italy.
    The International Journal of Tourism Research 12, 472-480.
  • James, L.F., Lijoi, A. and Prünster, I. (2010)
    On the posterior distribution of classes of random means.
    Bernoulli 16, 155-180.
  • Marinacci, M. and Montrucchio, L. (2010)
    Unique solutions for stochastic recursive utilities.
    Journal of Economic Theory 145, 1776-1804.
  • Martinelli, A., Ruggiero, M. and Walker, S.G. (2010)
    A note on convergence rates for posterior distributions via large deviations techniques.
    Statistical Papers 51, 337-347.
  • Pistone, G., Vicario, G. (2010)
    Comparing and generating Latin Hypercube designs in Kriging models.
    Asta Advances in Statistical Analysis 94, 353-366.



  • Altarelli, F.Braunstein, A., Realpe-Gomez, J. and Zecchina, R. (2009)
    Statistical mechanics of budget-constrained auctions.
    Journal of Statistical Mechanics, P07002.
  • Bailly-Bechet, M., Bradde, S., Braunstein, A., Flaxman, A., Foini, L. and Zecchina, R. (2009)
    Clustering with shallow trees.
    Journal of Statistical Mechanics, P12010.
  • De Blasi, P. Peccati, G. and Prünster, I. (2009)
    Asymptotics for posterior hazards.
    The Annals of Statistics 37, 1906-1945.
  • De Blasi, P. and Hjort, N.L. (2009)
    The Bernstein-von Mises theorem in semiparametric competing risks models.
    Journal of Statistical Planning and Inference 139, 2316-2328.
  • Draghicescu, D. and Ignaccolo, R. (2009)
    Modeling threshold exceedance probabilities of spatially correlated time series.
    Electronic Journal of Statistics 3, 149-164.
  • Favaro, S.Ruggiero, M. and Walker, S.G. (2009)
    On a Gibbs sampler based random process in Bayesian nonparametrics.
    Electronic Journal of Statistics 3, 1556-1566.
  • Favaro, S.Lijoi, A., Mena, R.H. and Prünster, I. (2009)
    Bayesian nonparametric inference for species variety with a two parameter Poisson-Dirichlet process prior.
    Journal of the Royal Statistical Society Series B 71, 993-1008.
  • James, L.F., Lijoi, A. and Prünster, I. (2009)
    Posterior analysis for normalized random measures with independent increments.
    Scandinavian Journal of Statistics 36, 76-97.
  • Lijoi, A. and Prünster, I. (2009)
    Distributional properties of means of random probability measures.
    Statistics Surveys 3, 47-95.
  • Nieto-Barajas, L.E. and Prünster, I. (2009)
    A sensitivity analysis for Bayesian nonparametric density estimators.
    Statistica Sinica 19, 685-705.
  • Pistone, G. (2009)
    κ-exponential models from the geometrical viewpoint.
    The European Phisical Journal B Condensed Matter Physics 71, 29-37.
  • Ruggiero, M. and Walker, S.G. (2009)
    Countable representation for infinite-dimensional diffusions derived from the two parameter Poisson-Dirichlet process.
    Electronic Communications in Probability 14, 501-517.
  • Ruggiero, M. and Walker, S.G. (2009)
    Bayesian nonparametric construction of the Fleming-Viot process with fertility selection.
    Statistica Sinica 19, 707-720.



  • Altarelli, F., Monasson, R. and Zamponi, F. (2008)
    Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions.
    Journal of Physics: Conference Series 95, 012013.
  • Bayati, M., Borgs, C., Braunstein, A., Chayes, J., Ramezanpour, A. and Zecchina, R. (2008)
    Statistical Mechanics of Steiner trees.
    Physical Review Letters 101, 037208.
  • Bayati, M., Borgs, C., Chayes, J. and Zecchina, R. (2008)
    On the exactness of the cavity method for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs.
    Journal of Statistical Mechanics, L06001.
  • Bayati, M., Braunstein, A. and Zecchina, R. (2008)
    A rigorous analysis of the cavity equations for the minimum spanning tree.
    Journal of Mathematical Physics 49, 125206.
  • Bianconi, G. and Zecchina, R. (2008)
    Viable flux distribution in metabolic networks.
    Networks and Heterogeneous Media 3, 361-369.
  • Braunstein, A., Mulet, R. and Pagnani, A. (2008)
    Estimating the size of the solution space of metabolic networks.
    BMC Bioinformatics 9, 240.
  • Braunstein, A., Pagnani, A., Weigt, M. and Zecchina, R. (2008)
    Inference algorithms for gene networks: A statistical-mechanics analysis.
    Journal of Statistical Mechanics, P12001.
  • Dall’Asta, L., Ramezanpour, A. and Zecchina, R. (2008)
    Entropy landscape and non-Gibbs solutions in constraint satisfaction problems.
    Physical Review E 77, 031118.
  • Daude’, H., Mezard,  M., Mora, T. and Zecchina, R. (2008)
    Pairs of SAT Assignments and Clustering in Random Boolean Formulae.
    Theoretical Computer Science 393, 260-279.
  • Favaro, S. and Walker, S. G. (2008)
    A generalized constructive definition for the Dirichlet process.
    Statistics and Probability Letters 78, 2836-2838.
  • Ignaccolo, R., Ghigo, S. and Giovenali, E. (2008)
    Analysis of air quality monitoring networks by functional clustering.
    Environmetrics 19, 672-686.
  • Ignaccolo, R. and Ribecco, N. (2008)
    Model testing for spatially correlated data.
    Annales de l’Institut de Statistique de l’Université de Paris 52, 27-42.
  • James, L.F., Lijoi, A. and Prünster, I. (2008)
    Distributions of linear functionals of two parameter Poisson-Dirichlet random measures.
    The Annals of Applied Probability 18, 521-551.
  • Lijoi, A., Mena, R.H. and Prünster, I. (2008)
    A Bayesian Nonparametric approach for comparing clustering ctructures in EST libraries.
    Journal of Computational Biology 15, 1315-1327.
  • Lijoi, A.Prünster, I. and Walker, S.G. (2008)
    Posterior analysis for some classes of nonparametric models.
    Journal of Nonparametric Statistics 20, 447-457.
  • Lijoi, A.Prünster, I. and Walker, S.G. (2008)
    Bayesian nonparametric estimators derived from conditional Gibbs structures.
    The Annals of Applied Probability 18, 1519-1547.
  • Lijoi, A.Prünster, I. and Walker, S.G. (2008)
    Investigating nonparametric priors with Gibbs structure.
    Statistica Sinica 18, 1653-1668.
  • Montrucchio, L. and Marinacci, M. (2008)
    On concavity and supermodularity.
    Journal of Mathematical Analysis and Applications 344, 642-654.
  • Montrucchio, L. and Semeraro, P. (2008)
    Refinement derivatives and values of games.
    Mathematics of Operations Research 33, 97-118.
  • Peccati, G. and Prünster, I. (2008)
    Linear and quadratic functionals of random hazard rates: an asymptotic analysis.
    The Annals of Applied Probability 18, 1910-1943.
  • Pistone, G. and Rogantin, M.P. (2008)
    Indicator function and complex coding for mixed fractional factorial designs.
    Journal of Statistical Planning and Inference 138, 787-802.
  • Pistone, G., Rogantin, M.P. (2008)
    Algebraic statistics of level codings for fractional factorial designs.
    Journal of Statistical Planning and Inference 138, 234-244.


  • Altarelli, F., Monasson, R. and Zamponi, F. (2007)
    Can rare SAT formulae be easily recognized? On the efficiency of message-passing algorithms for K-SAT at large clause-to-variable ratios.
    Journal of Physics A: Mathematical and Theoretical 40, 867-86.
  • Baldassi, C., Braunstein, A., Brunel, N. and Zecchina, R. (2007)
    Efficient supervised learning in networks with binary synapses.
    BMC Neuroscience 8, S13.
  • Cena, A. and Pistone, G. (2007)
    Exponential statistical manifold.
    Annals of the Institute of Statistical Mathematics 59, 27-56, 2007.
  • Consonni, G. and Pistone, G. (2007)
    Bayesian analysis of contingency tables with possibly zero-probability cells.
    Statistica Sinica 17, 1355-1370.
  • De Blasi, P. and Hjort, N.L. (2007)
    Bayesian survival analysis in proportional hazard models with logistic relative risk.
    Scandinavian Journal of Statististics 34, 229-257.
  • Lijoi, A., Mena, R.H. and Prünster, I. (2007)
    A Bayesian nonparametric method for prediction in EST analysis.
    BMC Bioinformatics 8, 339.
  • Lijoi, A., Mena, R.H. and Prünster, I. (2007)
    Bayesian nonparametric estimation of the probability of discovering a new species.
    Biometrika 94, 769-786.
  • Lijoi, A., Mena, R.H. and Prünster, I. (2007)
    Controlling the reinforcement in Bayesian nonparametric mixture models.
    Journal of the Royal Statistical Society Series B 69, 715-740.
  • Lijoi, A.Prünster, I. and Walker, S.G. (2007)
    On convergence rates for nonparametric posterior distributions.
    Australian & New Zealand Journal of Statistics 49, 209-219.
  • Lijoi, A.Prünster, I. and Walker, S.G. (2007)
    Bayesian consistency for stationary models.
    Econometric Theory 23, 749-759.
  • Mahmoudi, H., Pagnani, A., Weigt, M. and Zecchina, R. (2007)
    Propagation of external regulation and asynchronous dynamics in random Boolean networks.
    CHAOS, 026109.
  • Manski, C.F. and Tetenov, A. (2007)
    Admissible Treatment Rules for a Risk-Averse Planner with Experimental Data on an Innovation.
    Journal of Statistical Planning and Inference 137, 1998-2010.
  • Montrucchio, L. and Scarsini, M. (2007)
    Large newsvendor games.
    Games and Economic Behavior 58, 316-337.
  • Walker, S.G., Lijoi, A. and Prünster, I. (2007)
    On rates of convergence for posterior distributions in infinite-dimensional models.
    The Annals of Statistics 35, 738-746.