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Titel:

On causal discovery with an equal-variance assumption

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Chen, Wenyu; Drton, Mathias; Wang, Y Samuel
Abstract:
Prior work has shown that causal structure can be uniquely identified from observational data when these follow a structural equation model whose error terms have equal variance. We show that this fact is implied by an ordering among conditional variances. We demonstrate that ordering estimates of these variances yields a simple yet state-of-the-art method for causal structure learning that is readily extendable to high-dimensional problems.
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Biometrika
Jahr:
2019
Band / Volume:
106
Jahr / Monat:
2019-12
Quartal:
4. Quartal
Monat:
Dec
Heft / Issue:
4
Seitenangaben Beitrag:
973-980
Sprache:
en
Volltext / DOI:
doi:10.1093/biomet/asz049
Verlag / Institution:
Oxford University Press (OUP)
E-ISSN:
0006-34441464-3510
Publikationsdatum:
24.09.2019
Format:
Text
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