Foundations of Objective Bayesian Methodology
Videos from CMO Workshop
Igor Pruenster, Bocconi University
Monday Nov 29, 2021 09:00 - 09:48
Nonparametric priors for partially exchangeable data: dependence structure and borrowing of information
Beatrice Franzolini, Bocconi University
Monday Nov 29, 2021 09:45 - 10:34
Nonparametric priors with full-range borrowing of information
Marta Catalano, University of Warwick
Monday Nov 29, 2021 11:00 - 11:48
A Wasserstein index of dependence for Bayesian nonparametric modeling
Julyan Arbel, Inria Grenoble, France
Monday Nov 29, 2021 15:00 - 15:48
Improving MCMC convergence diagnostic with a local version of R-hat
Trevor Campbell, University of British Columbia
Monday Nov 29, 2021 15:45 - 16:29
Parallel Tempering on Optimized Paths
María Fernanda Gil Leyva Villa, IIMAS - UNAM
Monday Nov 29, 2021 17:00 - 17:43
Gibbs sampling for mixtures in order of appearance: the ordered allocation sampler
Anirban Bhattacharya, Texas A&M University
Monday Nov 29, 2021 17:45 - 18:33
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
Helen Ogden, University of Southampton
Tuesday Nov 30, 2021 09:00 - 09:48
Approximate cross validation for mixture models
Alexander Ly, University of Amsterdam/CWI Amsterdam
Tuesday Nov 30, 2021 09:45 - 10:30
Default Bayes Factors for Testing the (In)equality of Several Population Variances
Luis E. Nieto-Barajas, ITAM - Mexico
Tuesday Nov 30, 2021 11:00 - 11:45
Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence
Chris Holmes, Oxford University
Tuesday Nov 30, 2021 11:45 - 12:32
Predictive Inference: a view towards objectivity
Diana Cai, Princeton University
Tuesday Nov 30, 2021 12:30 - 13:11
Finite mixtures are typically inconsistent for the number of components
Judith Rousseau, University of Oxford
Tuesday Nov 30, 2021 15:00 - 15:46
Using cut posterior in semi parametric inference with applications to semiparametric and nonparametric Bayesian inference in hidden Markov models
Sinead Williamson, University of Texas at Austin
Tuesday Nov 30, 2021 15:45 - 16:30
Distributed, partially collapsed MCMC for Bayesian nonparametrics
Michele Guindani, University of California
Tuesday Nov 30, 2021 17:00 - 17:45
A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
Giovanni Rebaudo, University of Torino
Tuesday Nov 30, 2021 17:45 - 18:24
Graph-Aligned Random Partition Model
David Rossell, Universitat Pompeu Fabra
Wednesday Dec 1, 2021 09:00 - 09:48
Confounder importance learning for treatment effect inference
Veronika Rockova, University of Chicago
Wednesday Dec 1, 2021 09:45 - 10:34
Metropolis-Hastings via Classification
Jack Jewson, Monash University
Wednesday Dec 1, 2021 11:00 - 11:48
General Bayesian Loss Function Selection and the use of Improper Models
Rajesh Ranganath, Courant Institute, Center for Data Science NYU
Wednesday Dec 1, 2021 11:45 - 12:24
Where did my Bayes Go?
Noirrit Chandra, The University of Texas at Austin
Thursday Dec 2, 2021 09:00 - 09:46
Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models
Daniele Durante, Bocconi University
Thursday Dec 2, 2021 09:45 - 10:32
Advances in Bayesian inference for regression models with binary, categorical and partially-discretized data
Filippo Ascolani, Bocconi University
Thursday Dec 2, 2021 11:00 - 11:46
Trees of random probability measures and Bayesian nonparametric modelling
Yang Ni, Texas A&M University
Thursday Dec 2, 2021 11:45 - 12:36
Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks
José Antonio Perusquía, University of Kent
Thursday Dec 2, 2021 15:00 - 15:39
A Bayesian Approach to Anomaly Detection in Computer Systems: A Review
Katherine Heller, Google Research
Thursday Dec 2, 2021 15:45 - 16:34
Towards Trustworthy Machine Learning in Medicine and the Role of Uncertainty
Mengyang Gu, University of California Santa Barbara
Thursday Dec 2, 2021 17:00 - 17:44
Marginalization of latent variables for correlated data
