Fri | Dec 03 | 00:45 | Alan Riva-Palacio | Bayesian analysis of vectors of subordinators | |
Fri | Dec 03 | 00:00 | Mengyang Gu | Marginalization of latent variables for correlated data | |
Thu | Dec 02 | 22:45 | Katherine Heller | Towards Trustworthy Machine Learning in Medicine and the Role of Uncertainty | |
Thu | Dec 02 | 22:00 | José Antonio Perusquía | A Bayesian Approach to Anomaly Detection in Computer Systems: A Review | |
Thu | Dec 02 | 18:45 | Yang Ni | Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks | |
Thu | Dec 02 | 18:00 | Filippo Ascolani | Trees of random probability measures and Bayesian nonparametric modelling | |
Thu | Dec 02 | 16:45 | Daniele Durante | Advances in Bayesian inference for regression models with binary, categorical and partially-discretized data | |
Thu | Dec 02 | 16:00 | Noirrit Chandra | Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models | |
Wed | Dec 01 | 18:45 | Rajesh Ranganath | Where did my Bayes Go? | |
Wed | Dec 01 | 18:00 | Veronika Rockova | Metropolis-Hastings via Classification | |
Wed | Dec 01 | 16:45 | Jack Jewson | General Bayesian Loss Function Selection and the use of Improper Models | |
Wed | Dec 01 | 16:00 | David Rossell | Confounder importance learning for treatment effect inference | |
Wed | Dec 01 | 00:45 | Giovanni Rebaudo | Graph-Aligned Random Partition Model | |
Wed | Dec 01 | 00:00 | Michele Guindani | A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data | |
Tue | Nov 30 | 22:45 | Sinead Williamson | Posterior normalizing flows | |
Tue | Nov 30 | 22:00 | Judith Rousseau | Using cut posterior in semi parametric inference with applications to semiparametric and nonparametric Bayesian inference in hidden Markov models | |
Tue | Nov 30 | 18:45 | Chris Holmes | Predictive Inference: a view towards objectivity | |
Tue | Nov 30 | 18:00 | Luis E. Nieto-Barajas | Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence | |
Tue | Nov 30 | 16:45 | Alexander Ly | Default Bayes Factors for Testing the (In)equality of Several Population Variances | |
Tue | Nov 30 | 16:00 | Helen Ogden | Approximate cross validation for mixture models | |
Tue | Nov 30 | 00:45 | Anirban Bhattarcharya | Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors | |
Tue | Nov 30 | 00:00 | María Fernanda Gil Leyva Villa | Gibbs sampling for mixtures in order of appearance: the ordered allocation sampler | |
Mon | Nov 29 | 22:45 | Campbell Trevor | Parallel Tempering on Optimized Paths | |
Mon | Nov 29 | 22:00 | Julyan Arbel | Improving MCMC convergence diagnostic with a local version of R-hat | |
Mon | Nov 29 | 18:45 | Isadora Antoniano-Villalobos | Bayesian mixture models for the prediction of extreme observations | |
Mon | Nov 29 | 18:00 | Marta Catalano | A Wasserstein index of dependence for Bayesian nonparametric modeling | |
Mon | Nov 29 | 16:45 | Beatrice Franzolini | Nonparametric priors with full-range borrowing of information | |
Mon | Nov 29 | 16:00 | Igor Pruenster | Nonparametric priors for partially exchangeable data: dependence structure and borrowing of information | |