2 papers
stat.ME2019
A Pseudo-Marginal Metropolis-Hastings Algorithm for Estimating Generalized Linear Models in the Presence of Missing Data
Taylor R. Brown, Timothy L. McMurry, Alexander Langevin
The missing data issue often complicates the task of estimating generalized linear models (GLMs). We describe why the pseudo-marginal Metropolis-Hastings algorithm, used in this se…
stat.ME2018
A robustified posterior for Bayesian inference on a large number of parallel effects
J G Liao, Arthur Berg, Timothy L McMurry
Many modern experiments, such as microarray gene expression and genome-wide association studies, present the problem of estimating a large number of parallel effects. Bayesian infe…