P. Richard Hahn is Associate Professor of Econometrics and Statistics. His research develops computational methods for modeling complex real-world data. Currently he is developing statistical tools for analyzing data from personal health technology to inform training and recovery programs for professional athletes.
His research has appeared in the Journal of the American Statistical Association, the Annals of Applied Statistics, the Journal of Business and Economic Statistics, and the Journal of the Royal Statistical Society.
Outside of academia, Hahn has statistical consulting experience in diverse areas, including politics, management, marketing, and biotech.
Hahn earned his PhD in statistical science from Duke University.
2016 - 2017 Course Schedule
||Econometrics and Statistics Colloquium
Identification issues in applied models, decision theory, latent variable modeling, manifold modeling,, statistical computing.