Regular biography
Dr Dmytro Marushkevych is a researcher affiliated with The University of New South Wales, School of Mathematics and Statistics. His research interests include stochastic analysis, fractional brownian motion, and high dimensional statistics. He supervises research in diffusion and fractional processes. Dr Marushkevych is based at the Anita B. Lawrence Centre, Room 4111, UNSW Sydney, NSW 2052. His work contributes to the fields of penalized likelihood and stochastic processes.
Scholar-generated biography
Dmytro Marushkevych is a Lecturer at UNSW specializing in high-dimensional statistics. His research focuses on statistical inference in complex stochastic models, particularly in the context of fractional processes and diffusion models. He has published extensively on topics such as drift parameter estimation, Lasso estimators, and spectral asymptotics of fractional processes. His work explores the behavior of estimators under high-dimensional settings, including large deviations, limit behavior, and asymptotic accuracy. Marushkevych's research also addresses problems related to Gaussian bridges, Karhunen–Loeve expansions, and the estimation of parameters in non-Markovian settings. His contributions highlight the intersection of probability theory, statistical inference, and applied mathematics in high-dimensional data analysis.