A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation

DOI10.1111/biom.13244zbMath1520.62297arXiv1810.09494OpenAlexW2922278100WikidataQ89994337 ScholiaQ89994337MaRDI QIDQ6047796

Nandita Mitra, Unnamed Author, Jason A. Roy

Publication date: 9 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.09494

zbMATH Keywords

clusteringDirichlet processnonparametricsBayesiancausal inferencezero inflationhealthcare costs

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• BART: Bayesian additive regression trees
• A Bayesian nonparametric model for white blood cells in patients with lower urinary tract symptoms
• Bayesian inference for causal effects: The role of randomization
• Ferguson distributions via Polya urn schemes
• Bayesian nonparametric data analysis
• Bayesian analysis of zero-inflated regression models
• A Bayesian analysis of some nonparametric problems
• Dealing With Label Switching in Mixture Models
• A Bayesian nonparametric approach to causal inference on quantiles
• Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A
• Semiparametric mixed‐scale models using shared Bayesian forests
• A framework for Bayesian nonparametric inference for causal effects of mediation

This page was built for publication: A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation