Webinars

The section has been organising a regular webinar series since September 2020 to share the 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.

Upcoming webinars

Date and time Speaker Title Abstract Video
15:00 UTC on 23 September 2026 Giovanni Rebaudo Partially exchangeable discrete structures and Bayesian learning.

Previous webinars

Date and time Speaker Title Abstract Video
15:00 UTC on 4 June 2026 Eugenio Regazzini Interview with Eugenio Regazzini.
17:00 UTC on 4 February 2026 Botond Szabo Skew-symmetric approximations of posterior distributions.
17:00 UTC on 3 December 2025 Jungeum Kim On mixing rates for Bayesian CART.
16:00 UTC on 29 October 2025 Guillaume Kon Kam King Bayesian nonparametric mixture models and the posterior number of clusters.
17:00 UTC on 21 May 2025 Steve MacEachern ISBA-BNP special interview webinar with Steve MacEachern.
17:00 UTC on 2 April 2025 Vanda Inácio de Carvalho Density regression via Dirichlet process mixtures of normal structured additive regression models.
17:00 UTC on 5 February 2025 Beatrice Franzolini Random partitions beyond exchangeability.
17:00 UTC on 4 December 2024 Mario Beraha Bayesian analysis of (extended) feature allocation models: predictions, sufficientness, and applications.
13:00 UTC on 5 June 2024 Andrea Cremaschi Repulsion, chaos and equilibrium in mixture models.
16:00 UTC on 2 May 2024 Marta Catalano Merging rate of opinions via optimal transport on random measures.
17:00 UTC on 3 April 2024 Suprateek Kundu Flexible Bayesian product mixture models for vector autoregressions.
17:00 UTC on 6 March 2024 Andrés Felipe Barrientos and Rufeng Liu Bayesian nonparametric density estimation on the product of simplex spaces and the hypercube using multivariate Bernstein polynomials.
17:00 UTC on 6 February 2024 Xenia Miscouridou Series representations and i.i.d. approximations of completely random measures.
17:00 UTC on 10 January 2024 Cecilia Balocchi Bayesian nonparametric analysis of spatial variation with discontinuities.
17:00 UTC on 13 December 2023 Andriy Norets Semiparametric Bayesian estimation of dynamic discrete choice models.
17:00 UTC on 22 November 2023 Nhat Ho On excess mass behavior in Gaussian mixture models with Orlicz-Wasserstein distances.
17:00 UTC on 4 October 2023 Steve MacEachern Familial inference: tests for hypotheses on a family of centers.
17:00 UTC on 14 June 2023 Antonio Canale and Dafne Zorzetto Dependent nonparametric priors for causal inference problems.
17:00 UTC on 24 May 2023 Sergios Agapiou A new way for achieving adaptation.
17:00 UTC on 5 April 2023 Matteo Ruggiero, Filippo Ascolani and Guillaume Kon Kam King Duality-based inference in Bayesian dynamic models.
17:00 UTC on 1 March 2023 Li Ma A tale of two (thousand) trees in nonparametric modeling.
17:00 UTC on 2 February 2023 Fernando Quintana, Matt Heiner and Garritt Page A projection approach to local regression with variable-dimension covariates.
17:00 UTC on 11 January 2023 Judith Rousseau and Paul Rosa Bayesian nonparametric manifold learning.
17:00 UTC on 5 December 2022 Sonia Petrone Predictive-based Bayesian learning.
17:00 UTC on 2 November 2022 Sinead Williamson Posterior normalizing flows.
17:00 UTC on 5 October 2022 Alessandra Guglielmi and Mario Beraha BNP clustering using mixtures with interacting atoms.
17:00 UTC on 7 June 2022 Johannes Schmidt-Hieber and 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 20 April 2022 Federico Camerlenghi and Lorenzo Masoero Bayesian nonparametric priors for genomic variant discoveries.
17:00 UTC on 2 March 2022 Daniele Durante and Sirio Legramanti Bayesian nonparametric factorizations of matrix-valued parameters.
17:00 UTC on 12 January 2022 David Dunson Bayesian pyramids: identifying interpretable structure underlying high-dimensional data.
17:00 UTC on 8 December 2021 Tamara Broderick More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics.
16:00 UTC on 3 November 2021 David B. Dahl Shrinking a partition distribution towards a baseline partition, with applications to dependent partitions.
16:00 UTC on 6 October 2021 Stephen G. Walker Random measures from martingales; applications to Bayesian nonparametrics.
12:00 UTC on 1 September 2021 Yongdai Kim Adaptive Bayesian inference for high-dimensional sparse factor models.
17:00 UTC on 2 June 2021 Peter Müller Bayesian nonparametric bivariate survival regression for current status data.
17:00 UTC on 5 May 2021 Michael I. Jordan, Runjing (Bryan) Liu and Ryan Giordano Assessing sensitivity to the stick-breaking prior in Bayesian nonparametrics.
17:00 UTC on 7 April 2021 Jim E. Griffin and Alan Riva-Palacio Survival regression models with dependent Bayesian nonparametric priors.
17:00 UTC on 3 March 2021 Alejandro Jara Grid-uniform copulas and rectangle exchanges: Bayesian model and inference for a rich class of copula functions.
17:00 UTC on 3 February 2021 Ismaël Castillo Bayesian multiple testing with spike and slab priors.
17:00 UTC on 6 January 2021 Marina Vannucci and Meng Li Semiparametric Bayesian inference for local extrema of functions in the presence of noise.
17:00 UTC on 2 December 2020 Long Nguyen Overcoming weakly identifiable mixture models with more exchangeable data.
16:00 UTC on 4 November 2020 François Caron Non-exchangeable random partition models for microclustering.
16:00 UTC on 7 October 2020 Yanxun Xu A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV.
16:00 UTC on 2 September 2020 Antonio Lijoi Investigating dependence in Bayesian nonparametric models.