James P. Hobert
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Stochastic processes and statistical mechanics
Most-Cited Works
- → Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm(1999)553 cited
- → The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models(1996)418 cited
- → Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo(2001)256 cited
- → 2. Random-Effects Modeling of Categorical Response Data(2000)180 cited
- → Standard Errors of Prediction in Generalized Linear Mixed Models(1998)134 cited
- → Negative binomial loglinear mixed models(2003)132 cited
- → On the applicability of regenerative simulation in Markov chain Monte Carlo(2002)115 cited
- → The Polya-Gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic(2013)100 cited
- → Clustering Using Objective Functions and Stochastic Search(2008)97 cited