Arjun K. Gupta
About
Arjun K. Gupta has authored 220 papers that have received a total of 3.4k indexed citations.
This includes 178 papers in Statistics and Probability, 56 papers in Artificial Intelligence and 50 papers in Statistics, Probability and Uncertainty. The topics of these papers are Statistical Distribution Estimation and Applications (118 papers), Advanced Statistical Methods and Models (64 papers) and Bayesian Methods and Mixture Models (55 papers). Arjun K. Gupta is often cited by papers focused on Statistical Distribution Estimation and Applications (118 papers), Advanced Statistical Methods and Models (64 papers) and Bayesian Methods and Mixture Models (55 papers) and collaborates with scholars based in United States, Colombia and China. Arjun K. Gupta's co-authors include Daya K. Nagar, Saralees Nadarajah, Jie Chen, Solomon W. Harrar and Tonghui Wang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology)
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