Mark Huber

37 papers and 405 indexed citations i.

Mark Huber has authored 37 papers that have received a total of 405 indexed citations. This includes 31 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 12 papers in Mathematical Physics. The topics of these papers are Markov Chains and Monte Carlo Methods (26 papers), Bayesian Methods and Mixture Models (12 papers) and Stochastic processes and statistical mechanics (12 papers). Mark Huber is often cited by papers focused on Markov Chains and Monte Carlo Methods (26 papers), Bayesian Methods and Mixture Models (12 papers) and Stochastic processes and statistical mechanics (12 papers) and collaborates with scholars based in United States and Denmark. Mark Huber's co-authors include Robert L. Wolpert, James Allen Fill, Dawn B. Woodard, Scott C. Schmidler and Joshua E. S. Socolar and has published in prestigious journals such as Biometrics, Systematic Biology and American Mathematical Monthly