Richard M. Royall
About
Richard M. Royall has authored 71 papers that have received a total of 5.6k indexed citations.
This includes 32 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 6 papers in Surgery. The topics of these papers are Statistical Methods and Bayesian Inference (18 papers), Survey Sampling and Estimation Techniques (17 papers) and Bayesian Methods and Mixture Models (13 papers). Richard M. Royall is often cited by papers focused on Statistical Methods and Bayesian Inference (18 papers), Survey Sampling and Estimation Techniques (17 papers) and Bayesian Methods and Mixture Models (13 papers) and collaborates with scholars based in United States, Taiwan and Israel. Richard M. Royall's co-authors include William G. Cumberland, Louis M. Borowicz, Maura A. Grega, Guy M. McKhann and Jay Herson and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Neuroscience
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