Éric Moulines
About
Éric Moulines has authored 181 papers that have received a total of 10.3k indexed citations.
This includes 84 papers in Statistics and Probability, 70 papers in Artificial Intelligence and 38 papers in Signal Processing. The topics of these papers are Markov Chains and Monte Carlo Methods (50 papers), Statistical Methods and Inference (46 papers) and Bayesian Methods and Mixture Models (32 papers). Éric Moulines is often cited by papers focused on Markov Chains and Monte Carlo Methods (50 papers), Statistical Methods and Inference (46 papers) and Bayesian Methods and Mixture Models (32 papers) and collaborates with scholars based in France, United States and United Kingdom. Éric Moulines's co-authors include Randal Douc, Olivier Cappé, Gersende Fort, Philippe Soulier and Alain Durmus and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics
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