Jeroen K. Vermunt
About
Jeroen K. Vermunt has authored 211 papers that have received a total of 9.8k indexed citations.
This includes 75 papers in Statistics and Probability, 43 papers in Artificial Intelligence and 32 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Bayesian Inference (50 papers), Statistical Methods and Inference (30 papers) and Bayesian Methods and Mixture Models (28 papers). Jeroen K. Vermunt is often cited by papers focused on Statistical Methods and Bayesian Inference (50 papers), Statistical Methods and Inference (30 papers) and Bayesian Methods and Mixture Models (28 papers) and collaborates with scholars based in The Netherlands, United States and Italy. Jeroen K. Vermunt's co-authors include L. Andries van der Ark, Kim De Roover, Daniel L. Oberski, John Gelissen and Marcel A. Croon and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics
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