A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data

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http://hdl.handle.net/10138/309045

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Hyttinen , A , Plis , S , Järvisalo , M , Eberhardt , F & Danks , D 2017 , ' A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data ' , International Journal of Approximate Reasoning , vol. 90 , pp. 208-225 . https://doi.org/10.1016/j.ijar.2017.07.009

Title: A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data
Author: Hyttinen, Antti; Plis, Sergey; Järvisalo, Matti; Eberhardt, Frederick; Danks, David
Contributor organization: Helsinki Institute for Information Technology
Department of Computer Science
Constraint Reasoning and Optimization research group / Matti Järvisalo
The Finnish Center of Excellence in Computational Inference Research (COIN)
Date: 2017-11
Language: eng
Number of pages: 18
Belongs to series: International Journal of Approximate Reasoning
ISSN: 0888-613X
DOI: https://doi.org/10.1016/j.ijar.2017.07.009
URI: http://hdl.handle.net/10138/309045
Subject: 113 Computer and information sciences
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: acceptedVersion
Funder: Unknown funder
Unknown funder
Grant number:


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