François‐Xavier Briol

19 papers and 159 indexed citations i.

François‐Xavier Briol has authored 19 papers that have received a total of 159 indexed citations. This includes 11 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 4 papers in Statistical and Nonlinear Physics. The topics of these papers are Markov Chains and Monte Carlo Methods (7 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Inference (4 papers). François‐Xavier Briol is often cited by papers focused on Markov Chains and Monte Carlo Methods (7 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Inference (4 papers) and collaborates with scholars based in United Kingdom, Australia and Belgium. François‐Xavier Briol's co-authors include Chris J. Oates, Mark Girolami, Jon Cockayne, Lester Mackey and Michael A. Osborne and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and IEEE Transactions on Antennas and Propagation.