Jean D. Opsomer
About
Jean D. Opsomer has authored 70 papers that have received a total of 2.0k indexed citations.
This includes 42 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 12 papers in Artificial Intelligence. The topics of these papers are Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (12 papers). Jean D. Opsomer is often cited by papers focused on Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (12 papers) and collaborates with scholars based in United States, Spain and Belgium. Jean D. Opsomer's co-authors include F. Jay Breidt, David Ruppert, Göran Kauermann, Mario Francisco‐Fernández and Gerda Claeskens and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Environmental Science & Technology
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