Parametrizations and reference priors for multinomial decomposable graphical models
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Publication:764506
DOI10.1016/j.jmva.2011.08.001zbMath1236.62011OpenAlexW1986335251MaRDI QIDQ764506
Publication date: 13 March 2012
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2011.08.001
natural exponential familycutcliqueconjugate familycontingency tableslog-linear modelsreference priorsmultinomial models
Point estimation (62F10) Bayesian inference (62F15) Applications of graph theory (05C90) Contingency tables (62H17)
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Cites Work
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- Improving on the maximum likelihood estimators of the means in Poisson decomposable graphical models
- Bayes admissible estimation of the means in Poisson decomposable graphical models
- The formal definition of reference priors
- A conjugate prior for discrete hierarchical log-linear models
- Admissible estimation, Dirichlet principles and recurrence of birth-death chains on \({\mathbb{Z}}^ p_+\)
- Admissible and minimax estimation for the multinomial distribution and for k independent binomial distributions
- Hyper Markov laws in the statistical analysis of decomposable graphical models
- Stratified exponential families: Graphical models and model selection
- Prior induction in log-linear models for general contingency table analysis.
- Invariance of the reference prior under reparametrization
- On the invariance of noninformative priors
- Conditionally Reducible Natural Exponential Families and Enriched Conjugate Priors
- Conjugate Parameterizations for Natural Exponential Families
- Collapsibility and response variables in contingency tables
- A fast procedure for model search in multidimensional contingency tables
- Ordered group reference priors with application to the multinomial problem
- Conjugate Priors for Exponential Families Having Quadratic Variance Functions
- On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
- The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables
- Bayesian Analysis: A Look at Today and Thoughts of Tomorrow
- Bayesian Graphical Models for Discrete Data
- Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
- Model Determination for Categorical Data With Factor Level Merging
- Reference priors for discrete graphical models
- The case for objective Bayesian analysis
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