IGOR PRUENSTERPublications in refereed journals
[1] De Blasi, P., Peccati, G. and Prünster, I. (2009). Asymptotics for posterior hazards. The Annals of Statistics, in press.
[2] James, L.F., Lijoi, A., and Prünster, I. (2009). Posterior analysis for normalized random measures with independent increments. Scandinavian Journal of Statistics, in press.
[3] Nieto-Barajas, L.E., Prünster, I. (2009). A sensitivity analysis for Bayesian nonparametric density estimators. Statistica Sinica, in press.
[4] 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.
[5] 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.
[6] Lijoi, A., Prünster, I., and Walker, S.G. (2008). Posterior analysis for some classes of nonparametric models. Journal of Nonparametric Statistics, 20, 447-457.
[7] 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.
[8] Lijoi, A., Prünster, I., and Walker, S.G. (2008). Investigating nonparametric priors with Gibbs structure. Statistica Sinica, 18, 1653-1668.
[9] 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.
[10] Lijoi A., Mena, R.H., Prünster, I. (2007). A Bayesian nonparametric method for prediction in EST analysis. BMC Bioinformatics, 8: 339.
[11] Lijoi, A., Mena, R.H., and Prünster, I. (2007). Bayesian nonparametric estimation of the probability of discovering a new species. Biometrika, 94, 769-786.
[12] 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.
[13] 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.
[14] Lijoi, A., Prünster, I, and Walker, S.G. (2007). Bayesian consistency for stationary models. Econometric Theory, 23, 749-759.
[15] Walker, S.G., Lijoi, A., Prünster, I. (2007). On rates of convergence for posterior distributions in infinite-dimensional models. The Annals of Statistics, 35, 738-746.
[16] James, L.F., Lijoi, A., and Prünster, I. (2006). Conjugacy as a distinctive feature of the Dirichlet process. Scandinavian Journal of Statistics, 33, 105-120.
[17] Lijoi, A., Prünster, I, and Walker, S.G. (2005). On consistency of nonparametric normal mixtures for Bayesian density estimation. Journal of the American Statistical Association, 100, 1292-1296.
[18] Walker, S.G., Lijoi, A., Prünster, I. (2005). Data tracking and the understanding of Bayesian consistency. Biometrika, 92, 765-778.
[19] Lijoi, A., Mena, R.H., and Prünster, I. (2005). Hierarchical mixture modelling with normalized inverse Gaussian priors. Journal of the American Statistical Association, 100, 1278-1291.
[20] Lijoi, A., Mena, R.H., and Prünster, I. (2005). Bayesian nonparametric analysis for a generalized Dirichlet process prior. Statistical Inference for Stochastic Processes, 8, 283-309.
[21] Nieto-Barajas, L.E., Prünster, I, and Walker, S.G. (2004). Normalized Random Measures driven by Increasing Additive Processes. The Annals of Statistics, 32, 2343-2360.
[22] Lijoi, A., and Prünster, I. (2004). A note on the problem of heaps. Sankhya, 66, 234-242.
[23] Lijoi, A., Prünster, I. and Walker, S.G. (2004). Extending Doob's consistency theorem to nonparametric densities. Bernoulli, 10, 651-663.
[24] Epifani, I., Lijoi, A. and Prünster, I. (2003). Exponential functionals and means of neutral-to-the-right priors. Biometrika, 90, 791-808.
[25] Regazzini, E., Lijoi, A. and Prünster, I. (2003). Distributional results for means of normalized random measures with independent increments. The Annals of Statistics, 31, 560-585.
[2] James, L.F., Lijoi, A., and Prünster, I. (2009). Posterior analysis for normalized random measures with independent increments. Scandinavian Journal of Statistics, in press.
[3] Nieto-Barajas, L.E., Prünster, I. (2009). A sensitivity analysis for Bayesian nonparametric density estimators. Statistica Sinica, in press.
[4] 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.
[5] 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.
[6] Lijoi, A., Prünster, I., and Walker, S.G. (2008). Posterior analysis for some classes of nonparametric models. Journal of Nonparametric Statistics, 20, 447-457.
[7] 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.
[8] Lijoi, A., Prünster, I., and Walker, S.G. (2008). Investigating nonparametric priors with Gibbs structure. Statistica Sinica, 18, 1653-1668.
[9] 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.
[10] Lijoi A., Mena, R.H., Prünster, I. (2007). A Bayesian nonparametric method for prediction in EST analysis. BMC Bioinformatics, 8: 339.
[11] Lijoi, A., Mena, R.H., and Prünster, I. (2007). Bayesian nonparametric estimation of the probability of discovering a new species. Biometrika, 94, 769-786.
[12] 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.
[13] 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.
[14] Lijoi, A., Prünster, I, and Walker, S.G. (2007). Bayesian consistency for stationary models. Econometric Theory, 23, 749-759.
[15] Walker, S.G., Lijoi, A., Prünster, I. (2007). On rates of convergence for posterior distributions in infinite-dimensional models. The Annals of Statistics, 35, 738-746.
[16] James, L.F., Lijoi, A., and Prünster, I. (2006). Conjugacy as a distinctive feature of the Dirichlet process. Scandinavian Journal of Statistics, 33, 105-120.
[17] Lijoi, A., Prünster, I, and Walker, S.G. (2005). On consistency of nonparametric normal mixtures for Bayesian density estimation. Journal of the American Statistical Association, 100, 1292-1296.
[18] Walker, S.G., Lijoi, A., Prünster, I. (2005). Data tracking and the understanding of Bayesian consistency. Biometrika, 92, 765-778.
[19] Lijoi, A., Mena, R.H., and Prünster, I. (2005). Hierarchical mixture modelling with normalized inverse Gaussian priors. Journal of the American Statistical Association, 100, 1278-1291.
[20] Lijoi, A., Mena, R.H., and Prünster, I. (2005). Bayesian nonparametric analysis for a generalized Dirichlet process prior. Statistical Inference for Stochastic Processes, 8, 283-309.
[21] Nieto-Barajas, L.E., Prünster, I, and Walker, S.G. (2004). Normalized Random Measures driven by Increasing Additive Processes. The Annals of Statistics, 32, 2343-2360.
[22] Lijoi, A., and Prünster, I. (2004). A note on the problem of heaps. Sankhya, 66, 234-242.
[23] Lijoi, A., Prünster, I. and Walker, S.G. (2004). Extending Doob's consistency theorem to nonparametric densities. Bernoulli, 10, 651-663.
[24] Epifani, I., Lijoi, A. and Prünster, I. (2003). Exponential functionals and means of neutral-to-the-right priors. Biometrika, 90, 791-808.
[25] Regazzini, E., Lijoi, A. and Prünster, I. (2003). Distributional results for means of normalized random measures with independent increments. The Annals of Statistics, 31, 560-585.
Conference proceedings and other publications
[26] Lijoi, A. and Prünster, I. (2009). Models beyond the Dirichlet process. In Bayesian Nonparametrics (Hjort, N.L., Holmes, C.C., Müller, P., Walker, S.G. Eds.), Cambridge University Press, in press.
[27] Nardone, R., Golaszewski, S., Bergmann, J., Venturi, A., Prünster, I., Bratti, A., Ladurner, G. and Tezzon F. (2008). Motor cortex excitability changes following a lesion in the posterior columns of the cervical spinal cord. Neuroscience Letters, 434, 119-123.
[28] Mena, R.H. and Prünster, I. (2007). Alcune considerazioni sulle elezioni presidenziali messicane del 2006. SIS Magazine (electronic).
[29] Lijoi, A., Mena, R.H., and Prünster, I. (2006). Bayesian clustering in nonparametric hierarchical mixture models. Proceedings of XLIII Meeting of the Italian Statistical Society, Vol. I, 449-460.
[30] Prünster, I. (2005). Some issues in Bayesian Nonparamterics. 2004 Proceedings of the American Statistical Association, Alexandria, VA: American Statistical Association, 196-203.
[31] Prünster, I. (2004). Misure di probabilitŕ aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana. Bollettino U.M.I. Sez. A, 7, 563-566.
[32] James, L.F., Lijoi, A., and Prünster, I. (2004). On a class of priors for Bayesian Nonparametrics. Proceedings of XLII Meeting of the Italian Statistical Society, Vol. II, 401-404.
[33] Lijoi, A. and Prünster, I. (2003). On a normalized random measure with independent increments relevant to Bayesian nonparametric inference. Proceedings of the 13th European Young Statisticians Meeting, Bernoulli Society, 123-134.
[34] Epifani, I., Lijoi, A., and Prunster, I. (2003). A note on the simulation of Lévy processes with a view towards applications. Proceedings of S.Co. 2003, 188-193.
Working
Papers
[35] Lijoi, A., Prünster, I., and Walker, S.G. (2006). On some particular rates of posterior convergence. Submitted.
[36] James, L.F., Lijoi, A., and Prünster, I. (2007). On the posterior distribution of means of nonparametric prior processes. Submitted.
[37] Favaro, S., Prünster, I., and Walker, S.G. (2008). On a class of random probability measures without Gibbs structure. Submitted.
[36] James, L.F., Lijoi, A., and Prünster, I. (2007). On the posterior distribution of means of nonparametric prior processes. Submitted.
[37] Favaro, S., Prünster, I., and Walker, S.G. (2008). On a class of random probability measures without Gibbs structure. Submitted.
[38] Favaro, S., Lijoi A., Mena, R.H., and Prünster, I. (2008). Bayesian nonparametric inference for species variety with a two parameter Poisson-Dirichlet process prior. Submitted.
[39] Lijoi, A. and Prünster, I. (2008). Distributional properties of means of random probability measures. Submitted.







