A Bayesian Gaussian Process for Estimating a Causal Exposure Response Curve in Environmental Epidemiology
环境流行病学中因果暴露反应曲线的贝叶斯高斯过程估计
Motivated by environmental policy questions, we address the challenges of estimation, change point detection, and uncertainty quantification of a causal exposure-response function (CERF). Under a potential outcome framework, the CERF describes the relationship between a continuously varying exposure (or treatment) and its causal effect on an outcome. We propose a new Bayesian approach that relies on a Gaussian process (GP) model to estimate the CERF nonparametrically. To…