3 papers
stat.ME2022
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects
Steven G. Xu, Shu Yang, Brian J. Reich
Standard causal inference characterizes treatment effect through averages, but the counterfactual distributions could be different in not only the central tendency but also spread…
stat.ME2022
SPQR: An R Package for Semi-Parametric Density and Quantile Regression
Steven G. Xu, Reetam Majumder, Brian J. Reich
We develop an R package SPQR that implements the semi-parametric quantile regression (SPQR) method in Xu and Reich (2021). The method begins by fitting a flexible density regressio…
stat.ME2021
Bayesian Non-parametric Quantile Process Regression and Estimation of Marginal Quantile Effects
Steven G. Xu, Brian J. Reich
Flexible estimation of multiple conditional quantiles is of interest in numerous applications, such as studying the effect of pregnancy-related factors on low and high birth weight…