Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables

Categorical marginal models (CMMs) are flexible tools for modelling dependent or clustered categorical data, when the dependencies themselves are not of interest. A major limitation of maximum likelihood (ML) estimation of CMMs is that the size of the contingency table increases exponentially with t...

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Detalles Bibliográficos
Autores principales: van der Ark, L. Andries, Bergsma, Wicher P., Koopman, Letty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Theory and Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656332/
https://www.ncbi.nlm.nih.gov/pubmed/37752345
http://dx.doi.org/10.1007/s11336-023-09932-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656332/
https://www.ncbi.nlm.nih.gov/pubmed/37752345
http://dx.doi.org/10.1007/s11336-023-09932-7

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