The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables

DOI10.1080/03610929808832107zbMath0894.62068OpenAlexW2121333243MaRDI QIDQ4386008

Eiichiro Funo, Joseph B. Lang, Charles J. Geyer, Glen Meeden

Publication date: 20 April 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929808832107

zbMATH Keywords

exponential familiesmaximum likelihood estimatorgraphical modelscontingency tablesstepwise Bayeslog-linear interaction models

Mathematics Subject Classification ID

Contingency tables (62H17) Admissibility in statistical decision theory (62C15)

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Cites Work

• Unnamed Item
• A stepwise Bayesian procedure
• Markov fields and log-linear interaction models for contingency tables
• A complete class theorem for statistical problems with finite sample spaces
• Estimation of multinomial probabilities
• Conjugate priors for exponential families
• Convex Analysis
• Partitioning of Chi-Square, Analysis of Marginal Contingency Tables, and Estimation of Expected Frequencies in Multidimensional Contingency Tables
• On the Admissible Estimators for Certain Fixed Sample Binomial Problems