1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.ST2018
Geometric ergodicity of Polya-Gamma Gibbs sampler for Bayesian logistic regression with a flat prior
Xin Wang, Vivekananda Roy
The logistic regression model is the most popular model for analyzing binary data. In the absence of any prior information, an improper flat prior is often used for the regression…
math.ST2017
Analysis of the Polya-Gamma block Gibbs sampler for Bayesian logistic linear mixed models
Xin Wang, Vivekananda Roy
In this article, we construct a two-block Gibbs sampler using Polson et al. (2013) data augmentation technique with Polya-Gamma latent variables for Bayesian logistic linear mixed…
math.ST2017★ 1 cited
Convergence analysis of the block Gibbs sampler for Bayesian probit linear mixed models with improper priors
Xin Wang, Vivekananda Roy
In this article, we consider Markov chain Monte Carlo(MCMC) algorithms for exploring the intractable posterior density associated with Bayesian probit linear mixed models under imp…