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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Tidskrift	International Journal of Approximate Reasoning
Volym	90
Sidor (från-till)	208-225
Antal sidor	18
ISSN	0888-613X
DOI	https://doi.org/10.1016/j.ijar.2017.07.009
Status	Publicerad - nov. 2017
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

113 Data- och informationsvetenskap

Åtkomst av dokument

10.1016/j.ijar.2017.07.009

paperAccepterat manuskript från författare, 1,19 MBLicens: CC BY-NC-ND

Harnessing Constraint Reasoning for Structure Discovery
Järvisalo, M. (Projektledare)
Unknown funder
01/01/2015 → 31/12/2018
Projekt: Helsingfors Universitetets treåriga forskningsprojekt
Polynomisen hierarkian päätösproseduurit, Boolean optimointi, ja mallien laskenta
Järvisalo, M. (Projektledare)
Unknown funder
01/09/2014 → 31/08/2019
Projekt: Forskningsprojekt

Citera det här

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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

Vetenskapsgrenar

Åtkomst av dokument

Projekt

Harnessing Constraint Reasoning for Structure Discovery

Polynomisen hierarkian päätösproseduurit, Boolean optimointi, ja mallien laskenta

Citera det här