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Dokumenttyp:
Konferenzbeitrag
Autor(en):
van Ommen, Thijs; Drton, Mathias
Titel:
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models
Seitenangaben Beitrag:
409-420
Abstract:
The observational characteristics of a linear structural equation model can be effectively described by polynomial constraints on the observed covariance matrix. However, these polynomials can be exponentially large, making them impractical for many purposes. In this paper, we present a graphical notation for many of these polynomial constraints. The expressive power of this notation is investigated both theoretically and empirically.
Dewey-Dezimalklassifikation:
510 Mathematik
Kongress- / Buchtitel:
Proceedings of Machine Learning Research
Kongress / Zusatzinformationen:
Proceedings of The 11th International Conference on Probabilistic Graphical Models
Band / Teilband / Volume:
186
Datum der Konferenz:
5.-7. Oktober 2022
Verlag / Institution:
MLResearchPress
Publikationsdatum:
19.09.2022
Jahr:
2022
Quartal:
3. Quartal
Jahr / Monat:
2022-09
Monat:
Sep
E-ISBN:
2640-3498
Sprache:
en
Erscheinungsform:
WWW
WWW:
Proceedings of Machine Learning Research
Semester:
SS 22
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
 BibTeX