Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks. / Mooij, Joris M; Peters, Jonas Martin; Janzing, Dominik; Zscheischler, Jakob; Schölkopf, Bernhard.
In: Journal of Machine Learning Research, Vol. 17, 2016, p. 1-102.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Mooij, JM, Peters, JM, Janzing, D, Zscheischler, J & Schölkopf, B 2016, 'Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks', Journal of Machine Learning Research, vol. 17, pp. 1-102.
APA
Mooij, J. M., Peters, J. M., Janzing, D., Zscheischler, J., & Schölkopf, B. (2016). Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks. Journal of Machine Learning Research, 17, 1-102.
Vancouver
Mooij JM, Peters JM, Janzing D, Zscheischler J, Schölkopf B. Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks. Journal of Machine Learning Research. 2016;17:1-102.
Author
Bibtex
@article{61cbd9ce592d47e79ee7837c92d407fa,
title = "Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks",
author = "Mooij, {Joris M} and Peters, {Jonas Martin} and Dominik Janzing and Jakob Zscheischler and Bernhard Sch{\"o}lkopf",
year = "2016",
language = "English",
volume = "17",
pages = "1--102",
journal = "Journal of Machine Learning Research",
issn = "1533-7928",
publisher = "MIT Press",
}
RIS
TY - JOUR
T1 - Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks
AU - Mooij, Joris M
AU - Peters, Jonas Martin
AU - Janzing, Dominik
AU - Zscheischler, Jakob
AU - Schölkopf, Bernhard
PY - 2016
Y1 - 2016
M3 - Journal article
VL - 17
SP - 1
EP - 102
JO - Journal of Machine Learning Research
JF - Journal of Machine Learning Research
SN - 1533-7928
ER -
ID: 176658726