3 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
SoftBart: Soft Bayesian Additive Regression Trees
Antonio R. Linero
Bayesian additive regression tree (BART) models have seen increased attention in recent years as a general-purpose nonparametric modeling technique. BART combines the flexibility o…
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior
Antonio R. Linero
In problems with large amounts of missing data one must model two distinct data generating processes: the outcome process which generates the response and the missing data mechanis…
Causal Mediation and Sensitivity Analysis for Mixed-Scale Data
Lexi Rene, Antonio R. Linero, Elizabeth Slate
The goal of causal mediation analysis, often described within the potential outcomes framework, is to decompose the effect of an exposure on an outcome of interest along different…
Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero
Methods based on Bayesian decision tree ensembles have proven valuable in constructing high-quality predictions, and are particularly attractive in certain settings because they en…
Semiparametric Mixed-Scale Models Using Shared Bayesian Forests
Antonio R. Linero, Debajyoti Sinha, Stuart R. Lipsitz
This paper demonstrates the advantages of sharing information about unknown features of covariates across multiple model components in various nonparametric regression problems inc…