Binary Models for Marginal Independence
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Publication:3541265
DOI10.1111/j.1467-9868.2007.00636.xzbMath1148.62043arXiv0707.3794OpenAlexW2079352458WikidataQ57566439 ScholiaQ57566439MaRDI QIDQ3541265
Mathias Drton, Thomas S. Richardson
Publication date: 25 November 2008
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0707.3794
maximum likelihood estimationMöbius inversionbidirected graphcovariance graphgraphical Markov modeliterative conditional fitting
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Uses Software
Cites Work
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- Lancaster interactions revisited
- Additive and multiplicative models and interactions
- Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
- Markov fields and log-linear interaction models for contingency tables
- Asymptotically efficient estimation of covariance matrices with linear structure
- Stochastic independence, algebraic independence and abstract connectedness
- Linear dependencies represented by chain graphs. With comments and a rejoinder by the authors
- Symmetry and lattice conditional independence in a multivariate normal distribution
- Exploring interactions in high-dimensional tables: a bootstrap alternative to log-linear models
- Stratified exponential families: Graphical models and model selection
- Marginal models for categorical data
- Ancestral graph Markov models.
- A different construction of Gaussian fields from Markov chains: Dirichlet covariances.
- Some equivalence results concerning multiplicative lattice decompositions of multivariate densities
- Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models
- Maximum Likelihood Estimation in Gaussian Chain Graph Models under the Alternative Markov Property
- Joint Regression and Association Modeling of Longitudinal Ordinal Data
- Estimation of a covariance matrix with zeros
- Testing for Pairwise Independence
- Analogies between Multiplicative Models in Contingency Tables and Covariance Selection
- Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
- A note on the quadratic exponential binary distribution
- Markov Properties for Acyclic Directed Mixed Graphs
- Introduction to Graphical Modelling
- Association Models for a Multivariate Binary Response
- On identification of multi-factor models with correlated residuals