L. R. Haff
About
L. R. Haff has authored 16 papers that have received a total of 585 indexed citations.
This includes 13 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 3 papers in Applied Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Random Matrices and Applications (6 papers). L. R. Haff is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Random Matrices and Applications (6 papers) and collaborates with scholars based in United States, Canada and South Korea. L. R. Haff's co-authors include Anirban Dasgupta, Lawrence Brown, William E. Strawderman, Michael H. Goldbaum and Mark Nelson and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of Multivariate Analysis
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