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Nancy E. Heckman is a Professor Emeritus at the University of British Columbia (UBC) in the Department of Statistics. Her research interests encompass a variety of areas including Functional Data Analysis with applications in evolutionary biology, nonparametric regression techniques such as splines, kernels, and local polynomials. She also investigates shapes regression functions and Hidden Markov Models, specifically in relation to animal and human movement data. In addition to her research, she is dedicated to the development of resources that support active learning in undergraduate statistics courses. These resources typically include applications associated with various interactive activity sheets. Nancy collaborates with the Flexible Learning Statistics Group and actively contributes to the StatSpace project to enhance learning methodologies. For additional information, her detailed Curriculum Vitae is available.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.