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Glen Takahara is an Associate Professor in the Department of Mathematics and Statistics at Queen's University. He holds a Ph.D. and M.S. from Carnegie Mellon University and a B.A.H. from the University of British Columbia. His research focuses on statistics and includes areas such as computational methods, statistical learning, Bayesian analysis, and modern regression techniques. He is particularly interested in the applied methodological aspects of statistics and has a strong focus on frequency domain time series analysis. Glen Takahara is dedicated to mentoring graduate students, with an emphasis on those pursuing M.Sc. and Ph.D. degrees. His work aims to bridge the gap between theoretical statistics and practical applications, striving to address complex applied probability problems primarily in the field of statistical engineering.
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