Arjun K. Gupta
About
Arjun K. Gupta has authored 82 papers that have received a total of 1.7k indexed citations.
This includes 43 papers in Statistics and Probability, 34 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (25 papers), Statistical Distribution Estimation and Applications (21 papers) and Advanced Statistical Methods and Models (12 papers). Arjun K. Gupta is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Statistical Distribution Estimation and Applications (21 papers) and Advanced Statistical Methods and Models (12 papers) and collaborates with scholars based in United States, Colombia and Canada. Arjun K. Gupta's co-authors include Saralees Nadarajah, Daya K. Nagar, Taras Bodnar, James H. Albert and Jie Chen and has published in prestigious journals such as Physical Review Letters, Journal of the American Statistical Association and Technometrics
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