Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions.

Zhou F, He K, Ni Y

DOI: 10.1093/biomtc/ujaf089
Published: 2025 Jul 3
Container: Biometrics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/biomtc/ujaf089,
  title = {Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions.},
  author = {Zhou F and He K and Ni Y},
  year = {2025},
  journal = {Biometrics},
  doi = {10.1093/biomtc/ujaf089},
  url = {https://doi.org/10.1093/biomtc/ujaf089}
}

RIS

TY  - JOUR
TI  - Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions.
AU  - Zhou F
AU  - He K
AU  - Ni Y
PY  - 2025
JO  - Biometrics
DO  - 10.1093/biomtc/ujaf089
UR  - https://doi.org/10.1093/biomtc/ujaf089
ER  -

APA

F, Z., K, H., & Y, N. (2025). Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions.. Biometrics. https://doi.org/10.1093/biomtc/ujaf089

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pubmed · retrieved 2026-09-26T03:09:24.445Z