P. Richard Hahn is Associate Professor of Econometrics and Statistics. His research develops computational methods for modeling complex real-world data. He has developed methods and models for analyzing such diverse data as corporate accounting time series, handwriting samples, and behavioral game theory experiments. His most recent project concerns dealing with missing-data issues in detecting accounting fraud.
His research has appeared in the Journal of the American Statistical Association, the Annals of Applied 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.
2015 - 2016 Course Schedule
Identification issues in applied models, decision theory, latent variable modeling, manifold modeling,, statistical computing.