Sujay Datta
About
Sujay Datta has authored 16 papers that have received a total of 449 indexed citations.
This includes 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Physiology. The topics of these papers are Statistical Distribution Estimation and Applications (3 papers), Bayesian Methods and Mixture Models (3 papers) and Pregnancy and preeclampsia studies (2 papers). Sujay Datta is often cited by papers focused on Statistical Distribution Estimation and Applications (3 papers), Bayesian Methods and Mixture Models (3 papers) and Pregnancy and preeclampsia studies (2 papers) and collaborates with scholars based in United States, India and Australia. Sujay Datta's co-authors include Nitis Mukhopadhyay, D. H. Keisler, Wilson G. Pond, Fuller W. Bazer and Guoyao Wu and has published in prestigious journals such as Journal of the American Statistical Association, Macromolecules and Journal of Nutrition
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