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Regularized Ordinal Regression and the ordinalNet R Package

Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction accuracy, as well as to perform variable selection. Ordinal regression models are widely used in applications where the us...

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Autors principals: Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon
Format: Artigo
Idioma:Inglês
Publicat: Foundation for Open Access Statistics 2021-09-01
Col·lecció:Journal of Statistical Software
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Accés en línia:https://www.jstatsoft.org/index.php/jss/article/view/3166
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