Citation | Gareth Roberts is distinguished for his work spanning Applied Probability, Bayesian Statistics and Computational Statistics. He has made fundamental contributions to the theory, methodology and application of Markov Chain Monte Carlo and related methods in Statistics. He has developed crucial convergence and stability theory, constructed a theory of optimal scaling for Metropolis-Hastings algorithms, and has introduced and explored the theory of adaptive MCMC algorithms. He has made pioneering contributions to infinite dimensional simulation problems and inference in stochastic processes. His work has already found practical application in the study of epidemics such as Avian Influenza and Foot and Mouth disease. |