Bayesian Analysis Discussion Papers Webinars

This webpage provides a list of webinars of Bayesian Analysis discussed articles, from 2019 onward. All recorded videos are available on the BA webinars YouTube channel.
More generally, the ISBA YouTube channel hosts curated playlists featuring ISBA World Meetings (2012, 2016, 2018, 2021, 2022, 2024), specialized workshops and seminars (ABI, BNP, BayesComp), as well as content from ISBA Sections (j-ISBA, BNP, BioPharma, Industrial).

  • Model Uncertainty and Missing Data: An Objective Bayesian Perspective, by Gonzalo García-Donato, María Eugenia Castellanos, Stefano Cabras, Alicia Quirós, Anabel Forte, Nov 5, 2025.
  • A Tree Perspective on Stick-Breaking Models in Covariate-Dependent Mixtures, by Akira Horiguchi, Cliburn Chan, Li Ma, Sep 17, 2025.
  • Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown, by Sylvia Frühwirth-Schnatter, Darjus Hosszejni, and Hedibert Freitas Lopes, Feb 13, 2025.
  • Causal inference under mis-specification, by David A. Stephens, Widemberg S. Nobre, Erica E. M. Moodie, Alexandra M. Schmidt, Jun 13, 2023.
  • Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics, by Ryan Giordano, Runjing Liu, Michael I. Jordan, and Tamara Broderick, Mar 3, 2023.
  • Deep Gaussian Processes for Calibration of Computer Models, by Sébastien Marmin and Maurizio Filippone, Dec 6, 2022.
  • Bayesian Nonstationary and Nonparametric Covariance Estimation for Large Spatial Data, by Brian Kidd and Matthias Katzfus, Apr 20, 2022.
  • Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression, by John R. Lewis, Steven N. MacEachern, and Yoonkyung Lee, Feb 9, 2022.
  • Multilevel linear models, Gibbs samplers and multigrid decompositions, by Giacomo Zanella, Gareth Roberts, Jan 26, 2022.
  • Centered Partition Process: Informative Priors for Clustering, by Sally Paganin, Amy H. Herring, Andrew F. Olshan, David B. Dunson, Mar 29, 2021.
  • On a Class of Objective Priors from Scoring Rules, by Fabrizio Leisen, Cristiano Villa, and Stephen G. Walker, Jan 15, 2021.
  • Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects, by P. Richard Hahn, Jared S. Murray, and Carlos M. Carvalho, Sep 26, 2020.
  • A Unified Framework for De-Duplication and Population Size Estimation, by Andrea Tancredi, Rebecca Steorts, Brunero Liseo, Jul 7, 2020.
  • Bayesian Inference of Spatio-Temporal Changes of Arctic Sea Ice, by Bohai Zhang, Noel Cressie, Jul 1, 2020.
  • A Novel Algorithmic Approach to Bayesian Logic Regression, by Aliaksandr Hubin, Geir Storvik, and Florian Frommlet, Feb 26, 2020.
  • Latent Nested Nonparametric Priors, by Federico Camerlenghi, David B. Dunson, Antonio Lijoi, Igor Prünster, Abel Rodríguez, Nov 27, 2019.
  • Bayesian Conjugate Gradient Method, by Jon Cockayne, Chris Oates, Oct 2, 2019.