Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Janzing, D.; Schölkopf, B

doi:10.1515/jci-2017-0013

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Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Janzing, D., & Schölkopf, B. (2018). Detecting Confounding in Multivariate Linear Models via Spectral Analysis. Journal of Causal Inference, 6(1): 20170013. doi:10.1515/jci-2017-0013.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-25BE-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-25BF-F

Genre: Journal Article

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Creators:
Janzing, D.¹, Author
Schölkopf, B¹, Author

Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2017-10-28Date issued: 2018-03

Publication Status: Issued

Pages: 27

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Identifiers: DOI: 10.1515/jci-2017-0013
BibTex Citekey: JanSch17

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Title: Journal of Causal Inference

Source Genre: Journal

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Publ. Info: Berlin : de Gruyter

Pages: - Volume / Issue: 6 (1) Sequence Number: 20170013 Start / End Page: - Identifier: ISSN: 2193-3685
CoNE: https://pure.mpg.de/cone/journals/resource/21933685