Jim Q. Smith
About
Jim Q. Smith has authored 58 papers that have received a total of 1.6k indexed citations.
This includes 32 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 12 papers in Statistics and Probability. The topics of these papers are Bayesian Modeling and Causal Inference (28 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Jim Q. Smith is often cited by papers focused on Bayesian Modeling and Causal Inference (28 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers) and collaborates with scholars based in United Kingdom, Italy and Germany. Jim Q. Smith's co-authors include Silvia Liverani, Paul E. Anderson, Eva Riccomagno, Thomas E. Nichols and Raffaella Settimi and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Management Science
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