Scott A. Sisson
About
Scott A. Sisson has authored 109 papers that have received a total of 3.5k indexed citations.
This includes 43 papers in Artificial Intelligence, 40 papers in Statistics and Probability and 22 papers in Global and Planetary Change. The topics of these papers are Bayesian Methods and Mixture Models (23 papers), Statistical Methods and Inference (19 papers) and Markov Chains and Monte Carlo Methods (18 papers). Scott A. Sisson is often cited by papers focused on Bayesian Methods and Mixture Models (23 papers), Statistical Methods and Inference (19 papers) and Markov Chains and Monte Carlo Methods (18 papers) and collaborates with scholars based in Australia, United States and China. Scott A. Sisson's co-authors include Yanan Fan, Gareth W. Peters, David J. Nott, Ashish Sharma and Tom Lindström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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