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Titel:

Generic Identifiability of Linear Structural Equation Models by Ancestor Decomposition

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Drton, Mathias; Weihs, Luca
Abstract:
Linear structural equation models, which relate random variables via linear interdependencies and Gaussian noise, are a popular tool for modelling multivariate joint distributions. The models correspond to mixed graphs that include both directed and bidirected edges representing the linear relationships and correlations between noise terms, respectively. A question of interest for these models is that of parameter identifiability, whether or not it is possible to recover edge coefficients from t...     »
Stichworte:
generic identifiability, half‐trek criterion, parameter identification, structural equation models
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Scandinavian Journal of Statistics
Jahr:
2016
Band / Volume:
43
Jahr / Monat:
2016-04
Quartal:
2. Quartal
Monat:
Apr
Heft / Issue:
4
Seitenangaben Beitrag:
1035-1045
Sprache:
en
Volltext / DOI:
doi:10.1111/sjos.12227
Verlag / Institution:
Wiley
E-ISSN:
0303-6898
Publikationsdatum:
14.04.2016
Format:
Text
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