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Invariant normal models with recursive graphical Markov structure.

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Publication:1848818
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DOI10.1214/aos/1015956711zbMath1105.62346OpenAlexW1558353359MaRDI QIDQ1848818

Jesper Madsen

Publication date: 14 November 2002

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1015956711



Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05)


Related Items

Symmetries in directed Gaussian graphical models ⋮ Group symmetry and covariance regularization ⋮ Estimation of means in graphical Gaussian models with symmetries ⋮ Chain Graph Models and their Causal Interpretations ⋮ On Riesz and Wishart distributions associated with decomposable undirected graphs ⋮ Model selection in the space of Gaussian models invariant by symmetry



Cites Work

  • Normal linear regression models with recursive graphical Markov structure
  • Symmetry and lattice conditional independence in a multivariate normal distribution
  • Linear and graphical models for the multivariate complex normal distribution
  • On the relation between conditional independence models determined by finite distributive lattices and by directed acyclic graphs
  • Linear Statistical Inference and its Applications
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