Susan Athey Guest Talk - Estimating Heterogeneous Treatment Effects
The video is a bit buggy for the first 3 and half minutes or so, but it it fixed around 3:23. In this causalcourse.com guest talk from Susan Athey, Susan talks about estimating heterogeneous treatment effects with causal trees and causal forests.
Mentioned links:
https://www.aeaweb.org/conference/cont-ed/2018-webcasts
https://drive.google.com/drive/u/0/folders/1SEEOMluxBcSAb_tsDYgcLFtOQaeWtkLp
Видео Susan Athey Guest Talk - Estimating Heterogeneous Treatment Effects канала Brady Neal - Causal Inference
Mentioned links:
https://www.aeaweb.org/conference/cont-ed/2018-webcasts
https://drive.google.com/drive/u/0/folders/1SEEOMluxBcSAb_tsDYgcLFtOQaeWtkLp
Видео Susan Athey Guest Talk - Estimating Heterogeneous Treatment Effects канала Brady Neal - Causal Inference
Показать
Комментарии отсутствуют
Информация о видео
9 октября 2020 г. 21:00:24
00:57:02
Другие видео канала
Modeling Heterogeneous Treatment Effects with R
Machine Learning and Causal Interference -- Susan Athey
7 - Unobserved Confounding, Bounds, and Sensitivity Analysis
My philosophy for a happy life | Sam Berns | TEDxMidAtlantic
Fireside Chat with Susan Athey
Instrumental Variables and Endogenous Switching Regressions for Impact Assessment #Day6_Session2
Explainable AI: SHAP Dependency Plots and Random Forest in Python
Susan Athey: Synthetic Difference in Differences
Choosing a Statistical Test
Susan Athey: The Economics of Bitcoin & Virtual Currency
Alberto Abadie Guest Talk - Synthetic Controls
Solving Heterogeneous Estimating Equations Using Forest Based Algorithms
Susan Athey and Stefan Wager: Estimating Heterogeneous Treatment Effects in R
Regression Trees, Clearly Explained!!!
Causal inference in observational studies: Emma McCoy, Imperial College London
AI for Business: How Should We Frame It?
Heckman sample selection model
5 - Randomized Experiments and Identification
Power Analysis, Clearly Explained!!!
Average Treatment Effects: Causal Inference Bootcamp