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stat.CO2023
Truncation Approximation for Enriched Dirichlet Process Mixture Models
Natalie Burns, Michael J. Daniels
Enriched Dirichlet process mixture (EDPM) models are Bayesian nonparametric models which can be used for nonparametric regression and conditional density estimation and which overc…
stat.CO2021
BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R
Chuji Luo, Michael J. Daniels
In this article, we introduce the BNPqte R package which implements the Bayesian nonparametric approach of Xu, Daniels and Winterstein (2018) for estimating quantile treatment effe…