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High-dimensional longitudinal classification with the multinomial fused lasso
We study regularized estimation in high-dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed coefficient estimates are piecewise constant across the time dimension in the longitudinal problem, with adaptively selected change points (break po...
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| Publicado en: | Stat Med |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6599683/ https://ncbi.nlm.nih.gov/pubmed/30701586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8100 |
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