Richard G. Everitt
About
Richard G. Everitt has authored 20 papers that have received a total of 772 indexed citations.
This includes 9 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 3 papers in Molecular Biology. The topics of these papers are Markov Chains and Monte Carlo Methods (8 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Richard G. Everitt is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers) and collaborates with scholars based in United Kingdom, France and Australia. Richard G. Everitt's co-authors include Daniel J. Wilson, Tanya Golubchik, Derrick W. Crook, Bernadette C. Young and Tim Peto and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Clinical Microbiology
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