|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