Didier Chauveau

24 papers and 1.3k indexed citations i.

Didier Chauveau has authored 24 papers that have received a total of 1.3k indexed citations. This includes 19 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 4 papers in Mathematical Physics. The topics of these papers are Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (9 papers) and Markov Chains and Monte Carlo Methods (8 papers). Didier Chauveau is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (9 papers) and Markov Chains and Monte Carlo Methods (8 papers) and collaborates with scholars based in France, United States and Syria. Didier Chauveau's co-authors include David R. Hunter, Pierre Vandekerkhove, Jean Diebolt, Tatiana Benaglia and Anne‐Laure Le Gac and has published in prestigious journals such as Journal of Experimental Botany, Biometrika and Geoderma