95 citations · 168 across the 22 of their papers we have counts for
4 papers · 1 filter
Tree-Based Bayesian Treatment Effect Analysis
Pedro Henrique Filipini dos Santos, Hedibert Freitas Lopes
The inclusion of the propensity score as a covariate in Bayesian regression trees for causal inference can reduce the bias in treatment effect estimations, which occurs due to the…
Bayesian Hypothesis Testing: Redux
Hedibert F. Lopes, Nicholas G. Polson
Bayesian hypothesis testing is re-examined from the perspective of an a priori assessment of the test statistic distribution under the alternative. By assessing the distribution of…
Efficient sampling for Gaussian linear regression with arbitrary priors
P. Richard Hahn, Jingyu He, Hedibert Lopes
This paper develops a slice sampler for Bayesian linear regression models with arbitrary priors. The new sampler has two advantages over current approaches. One, it is faster than…
Sparse Bayesian Factor Analysis when the Number of Factors is Unknown
Sylvia Fruehwirth-Schnatter, Hedibert Freitas Lopes
Despite the popularity of sparse factor models, little attention has been given to formally address identifiability of these models beyond standard rotation-based identification su…