Information-based parameterization of the log-linear model for categorical data analysis

DOI10.1007/s11009-017-9597-9zbMath1411.62147OpenAlexW2765324702MaRDI QIDQ1739329

Anne Ricordeau, Justine Lequesne, Valérie Girardin

Publication date: 26 April 2019

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-017-9597-9

zbMATH Keywords

Kullback-Leibler divergenceodds ratiocontingency tablelog-linear modelcategorical data

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Applications of statistics to social sciences (62P25) Measures of information, entropy (94A17) Contingency tables (62H17)

Cites Work

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• Pearson's X 2 and the Loglikelihood Ratio Statistic G 2 : A Comparative Review
• Projected gradient methods for linearly constrained problems
• Contingency Table Analysis
• Interaction in multidimensional contingency tables: an information theoretic approach
• Maximum Entropy for Hypothesis Formulation, Especially for Multidimensional Contingency Tables

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