Forest Kernel Balancing Weights: Outcome‐Guided Features for Causal Inference

Andy A. Shen, Eli Ben‐Michael, Avi Feller, Luke Keele, Jared Murray

Open source

DOI: 10.1002/sim.70720
Published: 2026-08-27
Container: Statistics in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/sim.70720,
  title = {Forest Kernel Balancing Weights: Outcome‐Guided Features for Causal Inference},
  author = {Andy A. Shen and Eli Ben‐Michael and Avi Feller and Luke Keele and Jared Murray},
  year = {2026},
  journal = {Statistics in Medicine},
  doi = {10.1002/sim.70720},
  url = {https://doi.org/10.1002/sim.70720}
}

RIS

TY  - JOUR
TI  - Forest Kernel Balancing Weights: Outcome‐Guided Features for Causal Inference
AU  - Andy A. Shen
AU  - Eli Ben‐Michael
AU  - Avi Feller
AU  - Luke Keele
AU  - Jared Murray
PY  - 2026
JO  - Statistics in Medicine
DO  - 10.1002/sim.70720
UR  - https://doi.org/10.1002/sim.70720
ER  -

APA

Shen, A. A., Ben‐Michael, E., Feller, A., Keele, L., & Murray, J. (2026). Forest Kernel Balancing Weights: Outcome‐Guided Features for Causal Inference. Statistics in Medicine. https://doi.org/10.1002/sim.70720

Source records

crossref · retrieved 2026-09-25T01:32:29.329Z