assistant professor p. richard hahn

Winter quarter 2014 I am teaching three sections of Business Statistics.


I am a Bayesian statistician. Lately I work mainly on econometrics problems involving causal inference and partial identification.

A Bayesian hierarchical model for inferring player strategy types in a number guessing game
(data, read-me file, code)

Flexible prior specification for partially identified nonlinear regression with binary responses

Decoupling shrinkage and selection in Bayesian linear models: a posterior summary perspective

Shrinkage priors for linear instrumental variable models with many instruments

A sparse factor-analytic probit model for congressional voting patterns

Partial factor modeling: predictor-dependent shrinkage for linear regression

An approximate likelihood for simultaneous nonlinear quantile regression

A symmetric prior for multinomial probit models