Chris J. Oates

58 papers and 627 indexed citations i.

Chris J. Oates has authored 58 papers that have received a total of 627 indexed citations. This includes 29 papers in Artificial Intelligence, 22 papers in Statistics and Probability and 17 papers in Statistics, Probability and Uncertainty. The topics of these papers are Gaussian Processes and Bayesian Inference (16 papers), Probabilistic and Robust Engineering Design (14 papers) and Markov Chains and Monte Carlo Methods (12 papers). Chris J. Oates is often cited by papers focused on Gaussian Processes and Bayesian Inference (16 papers), Probabilistic and Robust Engineering Design (14 papers) and Markov Chains and Monte Carlo Methods (12 papers) and collaborates with scholars based in United Kingdom, Australia and United States. Chris J. Oates's co-authors include Mark Girolami, Sach Mukherjee, Jon Cockayne, François‐Xavier Briol and Dino Sejdinović and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics