Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning

X. San Liang, Dake Chen, Renhe Zhang

Open source

DOI: 10.34133/olar.0026
Published: 2023-01
Container: Ocean-Land-Atmosphere Research
Publisher: American Association for the Advancement of Science (AAAS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.34133/olar.0026,
  title = {Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning},
  author = {X. San Liang and Dake Chen and Renhe Zhang},
  year = {2023},
  journal = {Ocean-Land-Atmosphere Research},
  doi = {10.34133/olar.0026},
  url = {https://doi.org/10.34133/olar.0026}
}

RIS

TY  - JOUR
TI  - Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning
AU  - X. San Liang
AU  - Dake Chen
AU  - Renhe Zhang
PY  - 2023
JO  - Ocean-Land-Atmosphere Research
DO  - 10.34133/olar.0026
UR  - https://doi.org/10.34133/olar.0026
ER  -

APA

Liang, X. S., Chen, D., & Zhang, R. (2023). Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning. Ocean-Land-Atmosphere Research. https://doi.org/10.34133/olar.0026

Source records

crossref · retrieved 2026-09-26T03:38:03.268Z