posterior consistency

Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025 Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024 Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023 Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 Finite mixture models do not reliably learn the number of components ICML 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021 Soft Tensor Regression JMLR 2021 Bayesian Tensor Regression JMLR 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008