Birs- 21w5107: Foundations of Objective Bayesian Methodology

  1. Title:
    Nonparametric priors for partially exchangeable data: dependence structure and borrowing of information

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  2. Title:
    Nonparametric priors with full-range borrowing of information

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  3. Title:
    A Wasserstein index of dependence for Bayesian nonparametric modeling

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    Improving MCMC convergence diagnostic with a local version of R-hat

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    Parallel Tempering on Optimized Paths

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  6. Title:
    Gibbs sampling for mixtures in order of appearance: the ordered allocation sampler

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  7. Title:
    Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors

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  8. Title:
    Approximate cross validation for mixture models

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  9. Title:
    Default Bayes Factors for Testing the (In)equality of Several Population Variances

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  10. Title:
    Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence

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  11. Title:
    Predictive Inference: a view towards objectivity

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  12. Title:
    Finite mixtures are typically inconsistent for the number of components

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  13. Title:
    Using cut posterior in semi parametric inference with applications to semiparametric and nonparametric Bayesian inference in hidden Markov models

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  14. Title:
    Distributed, partially collapsed MCMC for Bayesian nonparametrics

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  15. Title:
    A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

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  16. Title:
    Graph-Aligned Random Partition Model

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  17. Title:
    Confounder importance learning for treatment effect inference

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  18. Title:
    Metropolis-Hastings via Classification

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  19. Title:
    General Bayesian Loss Function Selection and the use of Improper Models

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  20. Title:
    Where did my Bayes Go?

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