S. Kotz

8 papers and 7.3k indexed citations i.

S. Kotz has authored 8 papers that have received a total of 7.3k indexed citations. This includes 3 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. The topics of these papers are Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Advanced Clustering Algorithms Research (2 papers). S. Kotz is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Advanced Clustering Algorithms Research (2 papers) and collaborates with scholars based in United States, Australia and Türkiye. S. Kotz's co-authors include Norman L. Johnson, Norman L. Johnson, S. Kocherlakota, Adrienne W. Kemp and N. Balakrishnan and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Computational and Applied Mathematics