David J. Nott

111 papers and 2.0k indexed citations i.

David J. Nott has authored 111 papers that have received a total of 2.0k indexed citations. This includes 76 papers in Artificial Intelligence, 75 papers in Statistics and Probability and 9 papers in Water Science and Technology. The topics of these papers are Bayesian Methods and Mixture Models (49 papers), Statistical Methods and Inference (49 papers) and Statistical Methods and Bayesian Inference (44 papers). David J. Nott is often cited by papers focused on Bayesian Methods and Mixture Models (49 papers), Statistical Methods and Inference (49 papers) and Statistical Methods and Bayesian Inference (44 papers) and collaborates with scholars based in Singapore, Australia and United States. David J. Nott's co-authors include Robert Kohn, Minh‐Ngoc Tran, Lucy Marshall, Christopher Drovandi and Scott A. Sisson and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.