Kathryn Prewitt
About
Kathryn Prewitt has authored 10 papers that have received a total of 2.0k indexed citations.
This includes 9 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers) and Bayesian Methods and Mixture Models (3 papers). Kathryn Prewitt is often cited by papers focused on Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers) and Bayesian Methods and Mixture Models (3 papers) and collaborates with scholars based in United States, Türkiye and Cyprus. Kathryn Prewitt's co-authors include Ülkü Gürler, H. G. Müller, Sharon L. Lohr, Christine M. Anderson‐Cook and Richard Durrett and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology)
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