معرفی
Stilian A. Stoev is a Professor of Statistics and serves as Bridge Program Director and Associate Director of the PhD Program at the University of Michigan's Department of Statistics. He holds a Ph.D. in Mathematics and Statistics from Boston University (2005) and an M.Sc. in Mathematics from Sofia University (1998). His research focuses on stochastic processes, long-range dependence, heavy-tailed distributions, and extreme-value theory with applications in finance, oceanography, and computer networks. He teaches courses such as Statistics 412 and has contributed to methodological advancements in statistical inference for stochastic processes.
Research Interests: His work addresses time series analysis, limit theorems for Markov chains, long-range dependence modeling, and the estimation of Hurst parameters using wavelets. He explores applications in stochastic finance and communication networks, emphasizing both theoretical developments and practical implementations through computational tools like MATLAB and R.
Grants & Advising: As a program director, he oversees academic and research initiatives. His advising responsibilities include mentoring PhD and Master's students in statistical theory and applications. No specific grants are detailed in the provided texts.
Labs/Teams: No specific laboratory affiliations are mentioned, though his research involves interdisciplinary collaborations typical in statistical methodology development.
