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Variable Selection in Function-on-Scalar Regression
For regression models with functional responses and scalar predictors, it is common for the number of predictors to be large. Despite this, few methods for variable selection exist for function-on-scalar models, and none account for the inherent correlation of residual curves in such models. By expa...
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| Publicado no: | Stat (Int Stat Inst) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4943585/ https://ncbi.nlm.nih.gov/pubmed/27429751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sta4.106 |
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