A. F. M. Smith
About
A. F. M. Smith has authored 134 papers that have received a total of 27.0k indexed citations.
This includes 74 papers in Statistics and Probability, 48 papers in Artificial Intelligence and 21 papers in Statistics, Probability and Uncertainty. The topics of these papers are Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods and Inference (24 papers). A. F. M. Smith is often cited by papers focused on Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods and Inference (24 papers) and collaborates with scholars based in United Kingdom, United States and Switzerland. A. F. M. Smith's co-authors include Alan E. Gelfand, J. C. Naylor, Purushottam W. Laud, José M. Bernardo and Udi Makov and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Information Theory
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