1 citations · 2 across the 4 of their papers we have counts for
4 papers
Model specification via sequential coherence and backward induction
P. Richard Hahn
This paper describes how to specify probability models for data analysis via a backward induction procedure. The new approach yields coherent, prior-free uncertainty assessment. Af…
A Bayesian hierarchical model for inferring player strategy types in a number guessing game
P. Richard Hahn, Indranil Goswami, Carl Mela
This paper presents an in-depth statistical analysis of an experiment designed to measure the extent to which players in a simple game behave according to a popular behavioral econ…
Decoupling shrinkage and selection in Bayesian linear models: a posterior summary perspective
P. Richard Hahn, Carlos M. Carvalho
Selecting a subset of variables for linear models remains an active area of research. This paper reviews many of the recent contributions to the Bayesian model selection and shrink…
Shrinkage priors for linear instrumental variable models with many instruments
P. Richard Hahn, Hedibert Lopes
This paper addresses the weak instruments problem in linear instrumental variable models from a Bayesian perspective. The new approach has two components. First, a novel predictor-…