Denis Denisov

Denis Denisov is a Reader in Probability at The University of Manchester, Department of Mathematics. His research focuses on probability theory, including Markov chains, random walks, discrete harmonic functions, and related areas. Denisov's work explores topics such as random walks in cones, harmonic measure, and asymptotic behavior. He has contributed to several research outputs, including articles in Probability Theory and Related Fields and the Annals of Probability. Denisov is also involved in PhD supervision and accepts applications for postgraduate study.

Denis Denisov is a professor in the Department of Mathematics at the University of Manchester, specializing in Probability. His research focuses on the asymptotic behavior of random walks and related stochastic processes, particularly under heavy-tailed distributions. Denisov's work explores topics such as large deviations, first-passage times, and the behavior of random walks in cones. He has contributed significantly to understanding the tail asymptotics of randomly stopped sums and the properties of integrated random walks. His research also includes the analysis of Markov chains and their transience conditions, as well as the study of random difference equations and conditional limit theorems for ordered random walks.