Olivier Cappé

50 papers and 4.3k indexed citations i.

Olivier Cappé has authored 50 papers that have received a total of 4.3k indexed citations. This includes 28 papers in Artificial Intelligence, 17 papers in Signal Processing and 14 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (16 papers), Speech and Audio Processing (12 papers) and Markov Chains and Monte Carlo Methods (9 papers). Olivier Cappé is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Speech and Audio Processing (12 papers) and Markov Chains and Monte Carlo Methods (9 papers) and collaborates with scholars based in France, United Kingdom and Canada. Olivier Cappé's co-authors include Éric Moulines, Christian P. Robert, François Yvon, Aurélien Garivier and Randal Douc and has published in prestigious journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and Proceedings of the IEEE