Functional random forests for curve response

Abstract 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 th...

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Bibliographic Details
Main Authors: Guifang Fu, Xiaotian Dai, Yeheng Liang
Format: Article
Language:English
Published: Nature Portfolio 2021-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-02265-4