BriefGPT.xyz
May, 2018
隐变量混淆的多重因果推断
Multiple Causal Inference with Latent Confounding
HTML
PDF
Rajesh Ranganath, Adler Perotte
TL;DR
本文提出了一个基于共享混杂物和独立治疗的多种治疗估计技术，并使用相互信息对混淆估计器进行正则化，同时使用独立于混淆物的治疗方法中的残留信息来恢复治疗效果，并在模拟和医学临床案例中进行了验证。
Abstract
causal inference
from
observational data
requires assumptions. These assumptions range from measuring confounders to identifying instruments. Traditionally, these assumptions have focused on estimation in a singl
→