The section has been organizing a regular webinar series since September 2022 to share research progress made by distinguished scholars in our field. Although initially motivated by restrictions related to global health conditions, our aim is to establish this series as a permanent platform for regular meetings and discussions on BNP ideas..
Starting in Fall 2024, webinars will be held approximately every two months, typically on the first Wednesday of the month. Information on past and upcoming webinars can be found below.
Upcoming webinars:
| Date and Time | Speaker | Title |
|---|---|---|
| 17:00 UTC on December 4, 2024 | Mario Beraha | Bayesian analysis of (extended) feature allocation models: predictions, sufficientness, and applications. Abstract and Zoom link |
| 17:00 UTC on February 5, 2025 | Beatrice Franzolini | TBA |
| 17:00 UTC on April 2, 2025 | Vanda Inacio De Carvalho | TBA |
Previous webinars:
| Date and Time 1 | Speaker | Title |
|---|---|---|
| 13:00 UTC on June 5, 2024 | Andrea Cremaschi | Repulsion, Chaos and Equilibrium in Mixture Models Abstract and Video link |
| 16:00 UTC on May 2, 2024 | Marta Catalano | Merging rate of opinions via optimal transport on random measures Abstract and Video link |
| 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 |
| 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 |