A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation
A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation
Researchers are often interested in predicting outcomes, conducting clustering analysis to detect distinct subgroups of their data, or computing causal treatment effects. Pathological data distributions that exhibit skewness and zero-inflation complicate these tasks - requiring highly flexible, data-adaptive modeling. In this paper, we present a fully nonparametric Bayesian generative model …