Michael Goldstein
About
Michael Goldstein has authored 114 papers that have received a total of 2.4k indexed citations.
This includes 35 papers in Artificial Intelligence, 31 papers in Statistics and Probability and 29 papers in Statistics, Probability and Uncertainty. The topics of these papers are Advanced Statistical Methods and Models (18 papers), Probabilistic and Robust Engineering Design (15 papers) and Bayesian Modeling and Causal Inference (14 papers). Michael Goldstein is often cited by papers focused on Advanced Statistical Methods and Models (18 papers), Probabilistic and Robust Engineering Design (15 papers) and Bayesian Modeling and Causal Inference (14 papers) and collaborates with scholars based in United Kingdom, Uganda and United States. Michael Goldstein's co-authors include Ian Vernon, J Rougier, Trevelyan J. McKinley, Jeremy E. Oakley and Ioannis Andrianakis and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.
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