Invited Discussion of "A Unified Framework for De-Duplication and Popula...
In estimating the causal effect of a continuous exposure or treatment, i...
Factor Analysis is a popular method for modeling dependence in multivari...
We present a Bayesian nonparametric model for conditional distribution
e...
When constructing a model to estimate the causal effect of a treatment, ...
This paper proposes a Bayesian hierarchical model to characterize the
re...
When a latent shoeprint is discovered at a crime scene, forensic analyst...
This brief note documents the data generating processes used in the 2017...
This article introduces Targeted Smooth Bayesian Causal Forests, or tsbc...
Nonparametric regression models have recently surged in their power and
...
Probabilistic record linkage (PRL) is the process of determining which
r...
This article introduces functional BART, a new approach for functional
r...
Multiple imputation is a straightforward method for handling missing dat...