Joseph L. Schafer
About
Joseph L. Schafer has authored 41 papers that have received a total of 27.5k indexed citations.
This includes 31 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (20 papers) and Bayesian Methods and Mixture Models (10 papers). Joseph L. Schafer is often cited by papers focused on Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (20 papers) and Bayesian Methods and Mixture Models (10 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Joseph L. Schafer's co-authors include Linda M. Collins, Joseph Kang, John W. Graham, Thomas R. Belin and Chi-Ming Kam and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
In The Last Decade
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