Geoffrey J. McLachlan
About
Geoffrey J. McLachlan has authored 257 papers that have received a total of 24.8k indexed citations.
This includes 139 papers in Statistics and Probability, 134 papers in Artificial Intelligence and 38 papers in Molecular Biology. The topics of these papers are Bayesian Methods and Mixture Models (117 papers), Advanced Statistical Methods and Models (64 papers) and Statistical Methods and Bayesian Inference (58 papers). Geoffrey J. McLachlan is often cited by papers focused on Bayesian Methods and Mixture Models (117 papers), Advanced Statistical Methods and Models (64 papers) and Statistical Methods and Bayesian Inference (58 papers) and collaborates with scholars based in Australia, United States and Hong Kong. Geoffrey J. McLachlan's co-authors include Shu‐Kay Ng, Sharon Lee, K. E. Basford, David Peel and Hien D. Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics
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