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  Causal Discovery from Temporally Aggregated Time Series

Gong, M., Zhang, K., Schölkopf, B., Glymour, C., & Tao, D. (2017). Causal Discovery from Temporally Aggregated Time Series. In G. Elidan, & K. Kersting (Eds.), 33rd Conference on Uncertainty in Artificial Intelligence 2017 (pp. 1066-1075). Red Hook, NY: Curran Associates, Inc. Retrieved from http://auai.org/uai2017/proceedings/papers/269.pdf.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-25DF-B Version Permalink: https://hdl.handle.net/21.11116/0000-0003-ADBC-7
Genre: Conference Paper

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 Creators:
Gong, M.1, Author
Zhang, K1, Author
Schölkopf, B2, Author           
Glymour, C.1, Author
Tao, D.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2017-082017-12
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Gongetal17
URI: http://auai.org/uai2017/proceedings/papers/269.pdf
 Degree: -

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Title: 33rd Conference on Uncertainty in Artificial Intelligence (UAI 2017)
Place of Event: Sydney, Australia
Start-/End Date: 2017-08-11 - 2017-08-15

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Title: 33rd Conference on Uncertainty in Artificial Intelligence 2017
Source Genre: Proceedings
 Creator(s):
Elidan, Gal1, Editor
Kersting, Kristian1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: 2 Volume / Issue: - Sequence Number: 269 Start / End Page: 1066 - 1075 Identifier: URI: http://auai.org/uai2017/accepted.php
ISBN: 978-1-5108-4779-8