About this document
Overview of Causal Inference in Statistics by mula0513 is a document available to read on EtoBox.
This document provides an overview of recent advances in causal inference. It presents a unifying structural theory of causation that can formulate, analyze, and compare different aspects of causation. Within this framework, the document introduces graphical models and counterfactual analysis to formally represent causal assumptions and define causal effects. It then surveys mathematical tools developed from this framework to infer causal effects from data and assumptions, handle confounding, and analyze me
- Author
- mula0513
- Language
- EN