Gérard Biau
About
Gérard Biau has authored 24 papers that have received a total of 2.1k indexed citations.
This includes 16 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 4 papers in Molecular Biology. The topics of these papers are Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (6 papers) and Machine Learning and Data Classification (4 papers). Gérard Biau is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (6 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in France, Canada and Hungary. Gérard Biau's co-authors include Benoı̂t Cadre, Luc Devroye, Erwan Scornet, Kevin Bleakley and Marie‐Paule Lefranc and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and The Annals of Statistics
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