Seminar in Statistics
Seminar in Statistics Mark Podolskij (AARHUS University)
"Optimal estimation of certain random quantities associated with Levy processes"
[Academic Events] Seminar in Statistics Robin Ryder (Université Paris-Dauphine)
"A Bayesian non-parametric methodology for inferring grammar complexity"
[Academic Events] Seminar in Statistics Daniel Kowal (Rice University)
"Scalable Bayesian Inference and Summarization for Functional Data"
[Academic Events] Seminar in Statistics Stefano Peluchetti (Cogent Labs Tokyo)
"Deep neural networks and stochastic processes"
[Academic Events] Seminar in Statistics POSTPONED: Dario Trevisan (Università di Pisa)
"The law of the optimal map in random Euclidean matching problems"
[Academic Events] Seminar in Statistics, Webinars in Statistics Francesco Sanna Passino, Imperial College London
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
[Academic Events] Seminar in Statistics, Webinars in Statistics Ismael Castillo, Sorbonne Université Paris
Multiscale analysis of Bayesian CART
[Academic Events] Seminar in Statistics, Webinars in Statistics Pierre Jacob, Harvard University
Unbiased Markov chain Monte Carlo with couplings
[Academic Events] Seminar in Statistics, Webinars in Statistics Tommaso Rigon, Duke University
A generalized Bayes framework for probabilistic clustering
[Academic Events] Seminar in Statistics Minwoo Chae (Pohang University of Science and Technology, South Korea) (webinar)
"Posterior asymptotics in Wasserstein metrics on the real line"
Joint initiative with MIDAS Complex Data Modeling Research Network
[Academic Events] Seminar in Statistics Didong Li (Princeton University, USA) (webinar)
"Learning & Exploiting Low-Dimensional Structure in High-Dimensional Data"
Joint initiative with MIDAS Complex Data Modeling Research Network
[Academic Events] Seminar in Statistics David Rossell (Universitat Pompeu Fabra, Barcelona, Spain) (webinar)
"Approximate Laplace approximation"
Joint initiative with MIDAS Complex Data Modeling Research Network