Jeffrey S. Rosenthal

165 papers and 5.6k indexed citations i.

Jeffrey S. Rosenthal has authored 165 papers that have received a total of 5.6k indexed citations. This includes 104 papers in Statistics and Probability, 64 papers in Artificial Intelligence and 46 papers in Mathematical Physics. The topics of these papers are Markov Chains and Monte Carlo Methods (89 papers), Bayesian Methods and Mixture Models (48 papers) and Stochastic processes and statistical mechanics (45 papers). Jeffrey S. Rosenthal is often cited by papers focused on Markov Chains and Monte Carlo Methods (89 papers), Bayesian Methods and Mixture Models (48 papers) and Stochastic processes and statistical mechanics (45 papers) and collaborates with scholars based in Canada, United Kingdom and United States. Jeffrey S. Rosenthal's co-authors include Gareth O. Roberts, Jelmer W. Eerkens, Thierry Duchesne, Albert Yoon and Radu V. Craiu and has published in prestigious journals such as The Astrophysical Journal, Journal of the American Statistical Association and American Economic Review.