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Efficient methods for estimating constrained parameters with applications to lasso logistic regression
Fitting logistic regression models is challenging when their parameters are restricted. In this article, we first develop a quadratic lower-bound (QLB) algorithm for optimization with box or linear inequality constraints and derive the fastest QLB algorithm corresponding to the smallest global major...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2352165/ https://ncbi.nlm.nih.gov/pubmed/18443660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2007.11.007 |
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