Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya–Watson Regression
A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya–Watson regression for CATE) and based on the assumption that the number of controls is rather large and the number of treatments is small. TNW-CATE uses the N...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2023-04-01
|
| Schriftenreihe: | Algorithms |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/1999-4893/16/5/226 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|