5.3 - The Frontdoor Adjustment
In this part of the Introduction to Causal Inference course, we cover the frontdoor adjustment. Please post questions in the YouTube comments section.
Introduction to Causal Inference Course Website: causalcourse.com
Course Lectures Playlist: https://www.youtube.com/watch?v=-kWocwaXqlk&list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0&index=39
Видео 5.3 - The Frontdoor Adjustment канала Brady Neal - Causal Inference
Introduction to Causal Inference Course Website: causalcourse.com
Course Lectures Playlist: https://www.youtube.com/watch?v=-kWocwaXqlk&list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0&index=39
Видео 5.3 - The Frontdoor Adjustment канала Brady Neal - Causal Inference
Показать
Комментарии отсутствуют
Информация о видео
28 сентября 2020 г. 18:00:01
00:06:16
Другие видео канала
4.6 - The Backdoor Adjustment
5.4 - Pearl’s do-calculus
Get Started with Azure Front Door
Yoshua Bengio Guest Talk - Towards Causal Representation Learning
10.6 - Linear Non-Gaussian Setting for Causal Discovery
9.4 - Problems with Difference-in-Differences
9.3 - Difference-in-Differences Assumptions and Proof
6.1 - CATE Preliminaries and Outline
7.2 - No-Assumptions Bound and Observational-Counterfactual Decomposition
11.3 - Worst Case for Interventional Causal Discovery and Three-Variable Setting
12.2 - Causal Insights for Transfer Learning
7.6 - More Flexible Sensitivity Analysis
10.2 - Assumptions for Independence-Based Causal Discovery
14.2 - Computing Counterfactuals
6.4 - Propensity Scores and Inverse Probability Weighting (IPW)
5.5 - Determining Identifiability from the Graph
7.1 - Unobserved Confounding, Bounds Intro, and Lecture Outline
6.5 - Doubly Robust Methods, Matching, Double Machine Learning, and Causal Trees
14 - Counterfactuals and Mediation