Gaussoids are two-antecedental approximations of Gaussian conditional independence structures
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Publication:2149807
DOI10.1007/s10472-021-09780-0zbMath1493.62020arXiv2010.11914OpenAlexW3215476779WikidataQ114227640 ScholiaQ114227640MaRDI QIDQ2149807
Publication date: 29 June 2022
Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2010.11914
Semialgebraic sets and related spaces (14P10) Statistical aspects of information-theoretic topics (62B10) Algebraic statistics (62R01)
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The geometry of Gaussian double Markovian distributions ⋮ From matrix polynomial to determinant of block Toeplitz-Hessenberg matrix
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Cites Work
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- PROBABILISTIC CONDITIONAL INDEPENDENCE STRUCTURES AND MATROID THEORY: BACKGROUND1
- Algebraic Statistics
- Conditional Independences among Four Random Variables I
- Conditional Independences among Four Random Variables II
- Ideals, Varieties, and Algorithms
- Conditionals, Information, and Inference
- Construction methods for gaussoids
- A note on a generalized Cramer's rule
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