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

Antti Hyttinen; Sergey Plis; Matti Järvisalo; Frederick Eberhardt; David Danks

doi:10.1016/j.ijar.2017.07.009

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

Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, David Danks

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	International Journal of Approximate Reasoning
Volume	90
Pages (from-to)	208-225
Number of pages	18
ISSN	0888-613X
DOIs	https://doi.org/10.1016/j.ijar.2017.07.009
Publication status	Published - Nov 2017
MoE publication type	A1 Journal article-refereed

Fields of Science

113 Computer and information sciences

Access to Document

10.1016/j.ijar.2017.07.009

paperAccepted author manuscript, 1.19 MBLicence: CC BY-NC-ND

Harnessing Constraint Reasoning for Structure Discovery
Järvisalo, M. (Project manager)
Unknown funder
01/01/2015 → 31/12/2018
Project: University of Helsinki Three-Year Research Project
Decision Procedures for the Polynomial Hierarchy, Boolean Optimization, and Model Counting
Järvisalo, M. (Project manager)
Unknown funder
01/09/2014 → 31/08/2019
Project: Research project

Cite this

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title = "A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data",

keywords = "113 Computer and information sciences",

author = "Antti Hyttinen and Sergey Plis and Matti J{\"a}rvisalo and Frederick Eberhardt and David Danks",

year = "2017",

month = nov,

doi = "10.1016/j.ijar.2017.07.009",

language = "English",

volume = "90",

pages = "208--225",

journal = "International Journal of Approximate Reasoning",

issn = "0888-613X",

publisher = "Elsevier Scientific Publ. Co",

}

TY - JOUR

T1 - A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data

AU - Hyttinen, Antti

AU - Plis, Sergey

AU - Järvisalo, Matti

AU - Eberhardt, Frederick

AU - Danks, David

PY - 2017/11

Y1 - 2017/11

KW - 113 Computer and information sciences

U2 - 10.1016/j.ijar.2017.07.009

DO - 10.1016/j.ijar.2017.07.009

M3 - Article

SN - 0888-613X

VL - 90

SP - 208

EP - 225

JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

ER -

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

Fields of Science

Access to Document

Projects

Harnessing Constraint Reasoning for Structure Discovery

Decision Procedures for the Polynomial Hierarchy, Boolean Optimization, and Model Counting

Cite this