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Functional random forests for curve response

The rapid advancement of functional data in various application fields has increased the demand for advanced statistical approaches that can incorporate complex structures and nonlinear associations. In this article, we propose a novel functional random forests (FunFor) approach to model the functio...

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Detalles Bibliográficos
Autores principales:	Fu, Guifang, Dai, Xiaotian, Liang, Yeheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683425/ https://www.ncbi.nlm.nih.gov/pubmed/34921167 http://dx.doi.org/10.1038/s41598-021-02265-4

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