Pierre Jacob
About
Pierre Jacob has authored 63 papers that have received a total of 1.0k indexed citations.
This includes 27 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 8 papers in Applied Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (16 papers), Markov Chains and Monte Carlo Methods (16 papers) and Statistical Methods and Inference (13 papers). Pierre Jacob is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Markov Chains and Monte Carlo Methods (16 papers) and Statistical Methods and Inference (13 papers) and collaborates with scholars based in France, United States and United Kingdom. Pierre Jacob's co-authors include Lawrence M. Murray, Stéphane Girard, Aymeric Histace, Anthony Lee and Arnaud Cannet and has published in prestigious journals such as Journal of the American Statistical Association, Genetics and Scientific Reports
In The Last Decade
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