Trevor J. Sweeting
About
Trevor J. Sweeting has authored 57 papers that have received a total of 1.2k indexed citations.
This includes 35 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (18 papers) and Bayesian Methods and Mixture Models (15 papers). Trevor J. Sweeting is often cited by papers focused on Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (18 papers) and Bayesian Methods and Mixture Models (15 papers) and collaborates with scholars based in United Kingdom, United States and Lebanon. Trevor J. Sweeting's co-authors include Gauri Sankar Datta, Samer Kharroubi, Malay Ghosh, Daniel JB Marks and Farooq Rahman and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of the American Statistical Association and Technometrics
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