Joseph Naus
About
Joseph Naus has authored 56 papers that have received a total of 1.2k indexed citations.
This includes 26 papers in Artificial Intelligence, 17 papers in Statistics and Probability and 11 papers in Management Science and Operations Research. The topics of these papers are Bayesian Methods and Mixture Models (15 papers), Stochastic processes and statistical mechanics (10 papers) and Probability and Risk Models (9 papers). Joseph Naus is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Stochastic processes and statistical mechanics (10 papers) and Probability and Risk Models (9 papers) and collaborates with scholars based in United States, The Netherlands and Australia. Joseph Naus's co-authors include Sylvan Wallenstein, Joseph Glaz, Thomas G. Johnson, Dona Schneider and Michael Greenberg and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics
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