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02/01/2023
Necessary and sufficient conditions for posterior propriety for generalized linear mixed models
Generalized linear mixed models (GLMMs) are commonly used to analyze c...
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01/04/2023
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo
Riemannian manifold Hamiltonian (RMHMC) and Lagrangian Monte Carlo (LMC)...
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04/04/2022
MCMC for GLMMs
Generalized linear mixed models (GLMMs) are often used for analyzing cor...
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08/28/2021
Convergence of position-dependent MALA with application to conditional simulation in GLMMs
We establish verifiable conditions under which Metropolis-Hastings (MH) ...
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07/21/2021
Bayesian iterative screening in ultra-high dimensional settings
Variable selection in ultra-high dimensional linear regression is often ...
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07/05/2021
Analyzing Relevance Vector Machines using a single penalty approach
Relevance vector machine (RVM) is a popular sparse Bayesian learning mod...
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01/11/2021
Block Gibbs samplers for logistic mixed models: convergence properties and a comparison with full Gibbs samplers
Logistic linear mixed model (LLMM) is one of the most widely used statis...
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08/01/2020
Posterior Impropriety of some Sparse Bayesian Learning Models
Sparse Bayesian learning models are typically used for prediction in dat...
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06/13/2020
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
We develop a Bayesian variable selection method, called SVEN, based on a...
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09/26/2019
Convergence diagnostics for Markov chain Monte Carlo
Markov chain Monte Carlo (MCMC) is one of the most useful approaches to ...
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05/02/2018
Selection of proposal distributions for generalized importance sampling estimators
The standard importance sampling (IS) method uses samples from a single ...
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03/13/2018
Effective Reparameterized Importance Sampling for Spatial Generalized Linear Mixed Models with Parametric Links
Spatial generalized linear mixed models (SGLMMs) have been popular for a...
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02/17/2018