Dr. Jane L. Harvill is a Professor of Statistical Science at Baylor University, where she has served since 2007, initially as an Associate Professor. Her academic journey includes faculty roles at Bowling Green State University (1994–1998) and Mississippi State University (1998–2007). She spent a summer as a Visiting Scholar at Stanford University's Department of Statistics. Her research focuses on time series analysis, spatial statistics, spatio-temporal processes, and computational statistics, with contributions to clustering methods, spectral analysis, and statistical modeling. Education: Ph.D., Statistics, Texas A&M University, 1994 M.S., Mathematics, Arkansas State University, 1988 B.S.E., Mathematics, Arkansas State University, 1987 Research Interests: Dr. Harvill’s work bridges theoretical and applied statistics. Her primary focus on time series analysis includes nonlinear and nonstationary processes, with recent extensions into spatial and spatio-temporal modeling. She develops computational techniques for complex statistical problems, such as clustering algorithms and spatio-temporal models for renewable energy data. Her research also explores goodness-of-fit tests and functional coefficient autoregressive models. Awards and Editorial Roles: Elected Fellow of the International Statistical Institute Associate Editor, The American Statistician and Journal of the American Statistical Association Past Associate Editor, Computational Statistics and Journal of Statistical Computation and Simulation Professional Affiliations: Member of the Institute of Mathematical Statistics and the American Statistical Association (officer in the Statistical Computing Section). Additional Contributions: Dr. Harvill has advised and collaborated on interdisciplinary projects, including paleoclimatology studies using speleothem data. Her work integrates statistical rigor with real-world applications in environmental science and energy systems.
