Christina Goldschmidt
About
Christina Goldschmidt has authored 22 papers that have received a total of 314 indexed citations.
This includes 19 papers in Mathematical Physics, 9 papers in Statistics and Probability and 7 papers in Artificial Intelligence. The topics of these papers are Stochastic processes and statistical mechanics (19 papers), Markov Chains and Monte Carlo Methods (7 papers) and Bayesian Methods and Mixture Models (6 papers). Christina Goldschmidt is often cited by papers focused on Stochastic processes and statistical mechanics (19 papers), Markov Chains and Monte Carlo Methods (7 papers) and Bayesian Methods and Mixture Models (6 papers) and collaborates with scholars based in United Kingdom, France and Canada. Christina Goldschmidt's co-authors include Louigi Addario‐Berry, Nicolas Broutin, Bénédicte Haas, James Martin and James B. Martin and has published in prestigious journals such as Transactions of the American Mathematical Society, The Annals of Probability and Probability Theory and Related Fields.
In The Last Decade
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