3 papers
stat.ME2026
Variational approximate penalized credible regions for Bayesian grouped regression
Weichang Yu, Khue-Dung Dang
We develop a fast and accurate grouped penalized credible region approach for variable selection and prediction in Bayesian high-dimensional regression. Most existing Bayesian meth…
stat.ME2025
Expectation-Propagation for Bayesian Empirical Likelihood Inference
Kenyon Ng, Weichang Yu, Howard D. Bondell
Bayesian inference typically relies on specifying a parametric model that approximates the data-generating process. However, misspecified models can yield poor convergence rates an…
stat.ME2023
Cutting Feedback in Misspecified Copula Models
Michael Stanley Smith, Weichang Yu, David J. Nott +1
In copula models the marginal distributions and copula function are specified separately. We treat these as two modules in a modular Bayesian inference framework, and propose condu…