Michel Mouchart
About
Michel Mouchart has authored 48 papers that have received a total of 701 indexed citations.
This includes 17 papers in Artificial Intelligence, 17 papers in Statistics and Probability and 10 papers in Economics and Econometrics. The topics of these papers are Advanced Statistical Methods and Models (11 papers), Bayesian Modeling and Causal Inference (11 papers) and Advanced Statistical Process Monitoring (7 papers). Michel Mouchart is often cited by papers focused on Advanced Statistical Methods and Models (11 papers), Bayesian Modeling and Causal Inference (11 papers) and Advanced Statistical Process Monitoring (7 papers) and collaborates with scholars based in Belgium, United Kingdom and Italy. Michel Mouchart's co-authors include Jean‐Pierre Florens, Guillaume Wunsch, Federica Russo, Léopold Simar and Ernesto San Martı́n and has published in prestigious journals such as Econometrica, Journal of Econometrics and Statistics in Medicine
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