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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-02265-4 |