We are delighted to annouce the launch of a new webinar series organized by BNP-ISBA. This series of monthly webinars are designed to disseminate research progress made by distinguished scholars working in our vast area. Although this series was partially motivated by the restrictions in effect due to current global health conditions, our aim is to transform this activity in a permanent place for regular meeting and discussion of BNP ideas.

Webinars will usually take place the first Wednesday of each month. The current calendar is available below:

Upcoming webinars:

Date and Time Speaker Title
17:00 UTC on May 2, 2024 Marta Catalano Merging rate of opinions via optimal transport on random measures Abstract
13:00 UTC on June 5, 2024 Andrea Cremaschi Latent Random Partition model: an application to childhood comorbidity Abstract


Previous webinars:

Date and Time 1 Speaker Title
17:00 UTC on April 3, 2024 Suprateek Kundu Flexible Bayesian Product Mixture Models for Vector Autoregressions Abstract and Video link
17:00 UTC on March 6, 2024 Andrés Felipe Barrientos and Rufeng Liu Bayesian nonparametric density estimation on the product of simplex spaces and the hypercube using multivariate Bernstein polynomials  Abstract . Video not available
17:00 UTC on February 6, 2024 Xenia Miscouridou Series representations and iid approximations of completely random measures Abstract and Video link
17:00 UTC on January 10, 2024 Cecilia Balocchi Bayesian Nonparametric Analysis of Spatial Variation with Discontinuities Abstract and Video link
17:00 UTC on December 13, 2023 Andriy Norets Semiparametric Bayesian Estimation of Dynamic Discrete Choice Models Abstract and Video link
17:00 UTC on November 22, 2023 Nhat Ho On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances Abstract and Video link
17:00 UTC on October 04, 2023 Steve MacEachern Familial inference: Tests for hypotheses on a family of centers Abstract and Video link
17:00 UTC on June 14, 2023 Antonio Canale and Dafne Zorzetto Dependent nonparametric priors for causal inference problems Abstract and Video link
17:00 UTC on May 24, 2023 Sergios Agapiou A new way for achieving adaptation Abstract and Video link
17:00 UTC on April 5, 2023 Matteo Ruggiero , Filippo Ascolani and Guillaume Kon Kam King Duality-based inference in Bayesian dynamic models Abstract and Video
17:00 UTC on March 1, 2023 Li Ma A tale of two (thousand) trees in nonparametric modeling Abstract and Video
17:00 UTC on February 2, 2023 Fernando Quintana , Matt Heiner and Garrit Page A Projection Approach to Local Regression with Variable-Dimension Covariates Abstract and Video
17:00 UTC on January 11, 2023 Judith Rousseau and Paul Rosa Bayesian nonparametric manifold learning Abstract and Video
17:00 UTC on December 5, 2022 Sonia Petrone Predictive-based Bayesian learning Abstract and Video
17:00 UTC on November 2, 2022 Sinead Williamson Posterior normalizing flows Abstract and Video
17:00 UTC on October 5, 2022 Alessandra Guglielmi and Mario Beraha BNP clustering using mixtures with interacting atoms Abstract
17:00 UTC on June 7, 2022

Talk 1: Johannes Schmidt-Hieber

Talk 2: Matteo Giordano

Talk 1: A theoretical comparison of deep learning and Bayes with deep Gaussian process priors

Talk 2: On the inability of Gaussian process regression to optimally learn compositional functions

Abstracts and Video

17:00 UTC on April 20, 2022 Federico Camerlenghi and Lorenzo Masoero Bayesian nonparametric priors for genomic variant discoveries Abstract and Video
17:00 UTC on March 2, 2022 Daniele Durante and Sirio Legramanti Bayesian nonparametric factorizations of matrix-valued parameters Abstract and Video
17:00 UTC on January 12, 2022 David Dunson Bayesian pyramids: identifying interpretable structure underlying high-dimensional data Abstract and Video
17:00 UTC on December 8, 2021 Tamara Broderick More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics Abstract and Video
16:00 UTC on November 3, 2021 David B. Dahl Shrinking a partition distribution towards a baseline partition, with applications to dependent partitions Abstract and Video
16:00 UTC on October 6, 2021 Stephen G. Walker Random Measures from Martingales; applications to Bayesian nonparametrics Abstract and Video
12:00 UTC on September 1, 2021 Yongdai Kim Adaptive Bayesian inference for high-dimensional sparse factor models Abstract and Video
17:00 UTC on June 2, 2021 Peter Müller Bayesian nonparametric bivariate survival regression for current status data Abstract, Slides, and Video
17:00 UTC on May 5, 2021 Michael I. Jordan, Runjing (Bryan) Liu, and Ryan Giordano Assessing sensitivity to the stick-breaking prior in Bayesian nonparametrics Abstract, Slides, and Video
17:00 UTC on April 7, 2021 Jim E. Griffin and Alan Riva-Palacio Survival regression models with dependent Bayesian nonparametric priors Abstract and Video
17:00 UTC on March 3, 2021 Alejandro Jara Grid-uniform copulas and rectangle exchanges: Bayesian model and inference for a rich class of copula functions Abstract and Video
17:00 UTC on February 3, 2021 Ismael Castillo Bayesian multiple testing with spike and slab priors Abstract, Paper 1, and Paper 2
17:00 UTC on January 6, 2021 Marina Vanucci and Meng Li Semiparametric Bayesian inference for local extrema of functions in the presence of noise
17:00 UTC on December 2, 2020 Long Nguyen Overcoming weakly identifiable mixture models with more exchangeable data Video
16:00 UTC on November 4, 2020 Francois Caron Non-exchangeable random partition models for microclustering Video
16:00 UTC on October 7, 2020 Yanxun Xu A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV Video
16:00 UTC on September 2, 2020 Antonio Lijoi Investigating dependence in Bayesian nonparametric models Video