Trevor Campbell

24 papers and 338 indexed citations i.

Trevor Campbell has authored 24 papers that have received a total of 338 indexed citations. This includes 19 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 3 papers in Statistical and Nonlinear Physics. The topics of these papers are Bayesian Methods and Mixture Models (13 papers), Gaussian Processes and Bayesian Inference (12 papers) and Statistical Methods and Inference (8 papers). Trevor Campbell is often cited by papers focused on Bayesian Methods and Mixture Models (13 papers), Gaussian Processes and Bayesian Inference (12 papers) and Statistical Methods and Inference (8 papers) and collaborates with scholars based in United States, Canada and Luxembourg. Trevor Campbell's co-authors include Jonathan P. How, Tamara Broderick, Jonathan H. Huggins, John W. Fisher and Julian Straub and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Methods in Applied Mechanics and Engineering and Journal of Machine Learning Research