Decomposition and Model Selection for Large Contingency Tables

DOI10.1002/bimj.200900083zbMath1207.62126arXiv0904.1510OpenAlexW2120659848WikidataQ45173235 ScholiaQ45173235MaRDI QIDQ2786169

Markus Kalisch, Corinne Dahinden, Peter Bühlmann

Publication date: 21 September 2010

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0904.1510

zbMATH Keywords

log-linear modelsgroup lassographical modelsparse contingency tablescategorical data

Mathematics Subject Classification ID

Related Items (2)

Mutual conditional independence and its applications to model selection in Markov networks ⋮ Stable graphical model estimation with random forests for discrete, continuous, and mixed variables

Uses Software

• MICE

Cites Work

• Sequential category aggregation and partitioning approaches for multi-way contingency tables based on survey and census data
• Markov fields and log-linear interaction models for contingency tables
• Model Selection and Estimation in Regression with Grouped Variables
• Random forests
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