Hélène Massam
About
Hélène Massam has authored 56 papers that have received a total of 914 indexed citations.
This includes 38 papers in Statistics and Probability, 30 papers in Artificial Intelligence and 10 papers in Applied Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (19 papers), Bayesian Modeling and Causal Inference (19 papers) and Statistical Methods and Inference (16 papers). Hélène Massam is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Bayesian Modeling and Causal Inference (19 papers) and Statistical Methods and Inference (16 papers) and collaborates with scholars based in Canada, France and United States. Hélène Massam's co-authors include Gérard Letac, D. A. S. Fraser, Adrian Dobra, Xin Gao and Erhard Neher and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics
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