Shulamith T. Gross
About
Shulamith T. Gross has authored 25 papers that have received a total of 592 indexed citations.
This includes 12 papers in Statistics and Probability, 7 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. The topics of these papers are Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Shulamith T. Gross is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers) and collaborates with scholars based in United States, Australia and France. Shulamith T. Gross's co-authors include Tze Leung Lai, M. Donbrow, David Feldman, Simon Benita and William Steiger and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Biometrics
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