Information Theoretic Criterion Approach to Dimensionality Reduction in Multinomial Logistic Regression Models: Part II: Some Simulations1

DOI10.1080/03610918908812797zbMath0695.62188OpenAlexW1968306318MaRDI QIDQ3471542

N. Sambamoorthi

Publication date: 1989

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918908812797

zbMATH Keywords

maximum likelihood estimationmodel selectionstrong consistencyAICselection of variables

Mathematics Subject Classification ID

Multivariate analysis (62H99) Linear inference, regression (62J99) Statistical aspects of information-theoretic topics (62B10)

Cites Work

• Estimating the dimension of a model
• Information theoretic criterion approach to dimensionality reduction in multinomial logistic regression models. part i: theory
• A new look at the statistical model identification

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