Jon Cockayne

12 papers and 114 indexed citations i.

Jon Cockayne has authored 12 papers that have received a total of 114 indexed citations. This includes 9 papers in Artificial Intelligence, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Numerical Analysis. The topics of these papers are Gaussian Processes and Bayesian Inference (8 papers), Probabilistic and Robust Engineering Design (5 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jon Cockayne is often cited by papers focused on Gaussian Processes and Bayesian Inference (8 papers), Probabilistic and Robust Engineering Design (5 papers) and Markov Chains and Monte Carlo Methods (3 papers) and collaborates with scholars based in United Kingdom, Germany and United States. Jon Cockayne's co-authors include Chris J. Oates, Mark Girolami, Philipp Hennig, François‐Xavier Briol and Tim Sullivan and has published in prestigious journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and Journal of the Royal Statistical Society Series B (Statistical Methodology)