Markov Chain Monte Carlo (MCMC) methods have become indispensable in contemporary statistical science, enabling researchers to approximate complex probability distributions that are otherwise ...
We consider the recently introduced Transformation-based Markov Chain Monte Carlo (TMCMC) (Stat. Methodol. 16 (2014) 100–116), a methodology that is designed to update all the parameters ...
Dr. Corcoran is an applied probabilist specializing in MCMC methods in the Probability and Statistics Group in the Department of Applied Mathematics at the University of Colorado Boulder.
Lattice field theory provides a first-principles framework for studying strongly interacting systems, such as Quantum Chromodynamics (QCD, the theory of the strong interactions), via numerical ...
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