Larry Wasserman

72 papers and 5.2k indexed citations i.

Larry Wasserman has authored 72 papers that have received a total of 5.2k indexed citations. This includes 43 papers in Artificial Intelligence, 30 papers in Statistics and Probability and 15 papers in Computational Theory and Mathematics. The topics of these papers are Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (15 papers) and Bayesian Modeling and Causal Inference (15 papers). Larry Wasserman is often cited by papers focused on Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (15 papers) and Bayesian Modeling and Causal Inference (15 papers) and collaborates with scholars based in United States, Italy and Canada. Larry Wasserman's co-authors include Christopher R. Genovese, Alessandro Rinaldo, John Lafferty, Isabella Verdinelli and Shuheng Zhou and has published in prestigious journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Information Theory.