Jackson Gorham
About
Jackson Gorham has authored 11 papers that have received a total of 101 indexed citations.
This includes 9 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in Applied Mathematics. The topics of these papers are Markov Chains and Monte Carlo Methods (8 papers), Random Matrices and Applications (5 papers) and Bayesian Methods and Mixture Models (2 papers). Jackson Gorham is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Random Matrices and Applications (5 papers) and Bayesian Methods and Mixture Models (2 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Jackson Gorham's co-authors include Lester Mackey, François‐Xavier Briol, Chris J. Oates, Christophe Ley and Jeremy K. Mason and has published in prestigious journals such as Statistical Science, The Annals of Applied Probability and Electronic Communications in Probability
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