11.6 - Parametric Interventions for Causal Discovery
In this part of the Introduction to Causal Inference course, we introduce a more general kind of intervention: parametric interventions. 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=yUCZZBF5jII&list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0&index=74
Видео 11.6 - Parametric Interventions for Causal Discovery канала Brady Neal - Causal Inference
Introduction to Causal Inference Course Website: causalcourse.com
Course Lectures Playlist: https://www.youtube.com/watch?v=yUCZZBF5jII&list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0&index=74
Видео 11.6 - Parametric Interventions for Causal Discovery канала Brady Neal - Causal Inference
Показать
Комментарии отсутствуют
Информация о видео
17 ноября 2020 г. 19:00:10
00:04:51
Другие видео канала
3.6 - Chains and Forks
5.3 - The Frontdoor Adjustment
7.6 - More Flexible Sensitivity Analysis
9.4 - Problems with Difference-in-Differences
12.3 - Transportability of Causal Effects Across Populations
9.1 - Difference-in-Differences Motivation and Preliminaries
3.4 - Causal Graphs
9.3 - Difference-in-Differences Assumptions and Proof
6.1 - CATE Preliminaries and Outline
10.1 - Causal Discovery Motivation and Outline
10.7 - Nonlinear Additive Noise Setting for Causal Discovery
2.10 - Estimands, Estimates, and the Identification-Estimation Flowchart
12.2 - Causal Insights for Transfer Learning
3.9 - The Flow of Association and Causation in Graphs
4.9 - M-Bias and Conditioning on Descendants of Treatment
10.5 - Impossibility Results for Independence-Based and Nonparametric Causal Discovery
4.10 - A Complete Graphical Example with Estimation
14.3 - Mediation
10.6 - Linear Non-Gaussian Setting for Causal Discovery
12.1 - Transfer Learning, Domain Generalization, and Covariate Shift