Joseph Glaz

64 papers and 1.2k indexed citations i.

Joseph Glaz has authored 64 papers that have received a total of 1.2k indexed citations. This includes 26 papers in Artificial Intelligence, 24 papers in Statistics and Probability and 18 papers in Epidemiology. The topics of these papers are Data-Driven Disease Surveillance (18 papers), Bayesian Methods and Mixture Models (16 papers) and Advanced Statistical Process Monitoring (15 papers). Joseph Glaz is often cited by papers focused on Data-Driven Disease Surveillance (18 papers), Bayesian Methods and Mixture Models (16 papers) and Advanced Statistical Process Monitoring (15 papers) and collaborates with scholars based in United States, Canada and Greece. Joseph Glaz's co-authors include Joseph Naus, Sylvan Wallenstein, Vladimir Pozdnyakov, Peter Willett and Bo Zhao and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics