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- Title:
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models
- Document type:
- Konferenzbeitrag
- Author(s):
- van Ommen, Thijs; Drton, Mathias
- Pages contribution:
- 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 Decimal Classification:
- 510 Mathematik
- Book / Congress title:
- Proceedings of Machine Learning Research
- Congress (additional information):
- Proceedings of The 11th International Conference on Probabilistic Graphical Models
- Volume:
- 186
- Date of congress:
- 5.-7. Oktober 2022
- Publisher:
- MLResearchPress
- Date of publication:
- 19.09.2022
- Year:
- 2022
- Quarter:
- 3. Quartal
- Year / month:
- 2022-09
- Month:
- Sep
- E-ISBN:
- 2640-3498
- Language:
- en
- Publication format:
- WWW
- WWW:
- Proceedings of Machine Learning Research
- Semester:
- SS 22
- TUM Institution:
- Lehrstuhl für Mathematische Statistik
- Format:
- Text
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