James P. Hobert
About
James P. Hobert has authored 67 papers that have received a total of 2.0k indexed citations.
This includes 59 papers in Statistics and Probability, 42 papers in Artificial Intelligence and 5 papers in Mathematical Physics. The topics of these papers are Markov Chains and Monte Carlo Methods (44 papers), Bayesian Methods and Mixture Models (40 papers) and Statistical Methods and Inference (34 papers). James P. Hobert is often cited by papers focused on Markov Chains and Monte Carlo Methods (44 papers), Bayesian Methods and Mixture Models (40 papers) and Statistical Methods and Inference (34 papers) and collaborates with scholars based in United States, France and Taiwan. James P. Hobert's co-authors include Christian P. Robert, George Casella, James G. Booth, Kshitij Khare and Galin L. Jones and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics
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