James H. Albert

52 papers and 3.6k indexed citations i.

James H. Albert has authored 52 papers that have received a total of 3.6k indexed citations. This includes 36 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. The topics of these papers are Statistical Methods and Bayesian Inference (26 papers), Advanced Statistical Methods and Models (11 papers) and Bayesian Methods and Mixture Models (10 papers). James H. Albert is often cited by papers focused on Statistical Methods and Bayesian Inference (26 papers), Advanced Statistical Methods and Models (11 papers) and Bayesian Methods and Mixture Models (10 papers) and collaborates with scholars based in United States, Switzerland and Canada. James H. Albert's co-authors include Siddhartha Chib, Arjun K. Gupta, Arjun K. Gupta, Jon E. Sprague and Michael E. Doherty and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.