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Awesome Causal Inference

Contents

사전 지식

Part 1

OLS
Propensity Score & DML
Difference-in-Difference (DiD)
Synthetic Control (SC)
Synthetic Difference-in-Difference (SDID)
Instrumental Variables (IV)
IV (Instrument Variable)
Regression Discontinuity Design (RDD)
Regression Discontinuity

Part 2

Double/Debiased Machine Learning (비모수 버전의 Regression 처럼 활용 가능)
비모수적 개별 처치 효과(CATE) 추정
Policy Learning
CATE with NN
Interpretability in Causal Inference
Backdoor Criterion
Causal discovery
MSM

Examples

Fractional uplift modelling
Budget Constrained Optimization
Frontdoor Criterion

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By Awesome Causal Inference

Last updated on January 22, 2026.