Nested covariance determinants and restricted trek separation in Gaussian graphical models
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Publication:2203613
DOI10.3150/19-BEJ1179zbMath1476.62119arXiv1807.07561MaRDI QIDQ2203613
Luca Weihs, Mathias Drton, Elina Robeva
Publication date: 7 October 2020
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1807.07561
covariance matrixopen problemsconditional independencegraphical modelVerma constrainttrek separation
Estimation in multivariate analysis (62H12) Analysis of variance and covariance (ANOVA) (62J10) Probabilistic graphical models (62H22) Lists of open problems (00A27) Algebraic statistics (62R01)
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Algebraic properties of HTC-identifiable graphs, Multi-Trek Separation in Linear Structural Equation Models
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Cites Work
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- Global identifiability of linear structural equation models
- Half-trek criterion for generic identifiability of linear structural equation models
- Positivity for Gaussian graphical models
- Markovian acyclic directed mixed graphs for discrete data
- Probability distributions with summary graph structure
- Algebraic factor analysis: tetrads, pentads and beyond
- Lectures on algebraic statistics
- Trek separation for Gaussian graphical models
- Likelihood ratio tests and singularities
- Causation, prediction, and search
- Ancestral graph Markov models.
- Marginalizing and conditioning in graphical models
- Matrix Schubert varieties and Gaussian conditional independence models
- Generic Identifiability of Linear Structural Equation Models by Ancestor Decomposition
- On a Parametrization of Positive Semidefinite Matrices with Zeros
- Algebraic Problems in Structural Equation Modeling