34 citations · 38 across the 4 of their papers we have counts for
4 papers
Control variates and Rao-Blackwellization for deterministic sweep Markov chains
Stephen Berg, Jun Zhu, Murray K. Clayton
We study control variate methods for Markov chain Monte Carlo (MCMC) in the setting of deterministic sweep sampling using transition kernels. New variance reduction resul…
An Application of Bayesian Variable Selection to Spatial Concurrent Linear Models
Zuofeng Shang, Murray K. Clayton
Spatial concurrent linear models, in which the model coefficients are spatial processes varying at a local level, are flexible and useful tools for analyzing spatial data. One appr…
Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters
Zuofeng Shang, Murray K. Clayton
Linear models with a growing number of parameters have been widely used in modern statistics. One important problem about this kind of model is the variable selection issue. Bayesi…
Analysis of binary spatial data by quasi-likelihood estimating equations
Pei-Sheng Lin, Murray K. Clayton
The goal of this paper is to describe the application of quasi-likelihood estimating equations for spatially correlated binary data. In this paper, a logistic function is used to m…