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The paper could benefit very much from a paragraph in the discussion or intro that summarizes prior studies. For this issue, one person or a small team could
1. Collect set of relevant papers asses…
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https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwab201/6322279 (code: https://github.com/amishler/nonparametricDoublyRobust)
related: https://github.com/yqzhong7/AIPW
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### Description
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**Notebooks & Github codes**
- [ ] [Quickstart Notebook for using Causalgraphicalmodels python module: used to describe and manipulate Causal Graphical Models and Structural Causal Models. ](https:…
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## 一言でいうと
予測に基づく因果推論の手法と、「予測」を行うための機械学習手法についてまとめられた記事。治療への割り当て確率を計算する傾向スコア(割り当て確率が等しい人をペアにする)、傾向スコアの逆数を使って比較対象を揃えるIPTWs、治療の平均効果を計算するG-computationなどが紹介されている。
### 論文リンク
https://academic.oup.com…
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First of all, let me say how awesome I find the integration between econml and dowhy - I very much prefer expressing my problem in the graph language, and then choosing the right EconML machinery to s…
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# Overview
## Causality for Machine Learning
Arxiv: https://arxiv.org/abs/1911.10500
![image](https://user-images.githubusercontent.com/6381645/85252943-5c329b00-b45d-11ea-9323-cc0289a1933…
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Don't mind me. Just scribbling down some suggestions as I familiarize myself with the package.
On the "exposure-based models"
![image](https://user-images.githubusercontent.com/895554/166569015-2…
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* http://web.pdx.edu/~crkl/