Michael D. Perlman
About
Michael D. Perlman has authored 104 papers that have received a total of 2.7k indexed citations.
This includes 44 papers in Statistics and Probability, 31 papers in Artificial Intelligence and 15 papers in Applied Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (21 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (17 papers). Michael D. Perlman is often cited by papers focused on Bayesian Modeling and Causal Inference (21 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (17 papers) and collaborates with scholars based in United States, Canada and Singapore. Michael D. Perlman's co-authors include Steen A. Andersson, David Madigan, Lang Wu, Morris L. Eaton and Mathias Drton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrics.
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