Matthieu Lerasle
About
Matthieu Lerasle has authored 23 papers that have received a total of 202 indexed citations.
This includes 18 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. The topics of these papers are Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (9 papers) and Stochastic processes and statistical mechanics (4 papers). Matthieu Lerasle is often cited by papers focused on Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (9 papers) and Stochastic processes and statistical mechanics (4 papers) and collaborates with scholars based in France, Spain and Burundi. Matthieu Lerasle's co-authors include Guillaume Lecué, Daniel Y. Takahashi, Patricia Reynaud-Bouret, Zoltán Szabó and Gábor Lugosi and has published in prestigious journals such as The Annals of Statistics, Machine Learning and Probability Theory and Related Fields
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