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一种基于核函数的函数型数据非参数回归方法

柳心阳 李秀英 耿发展

Journal of Changshu Institute of Technology2025,Vol.39Issue(2):103-106,4.
Journal of Changshu Institute of Technology2025,Vol.39Issue(2):103-106,4.

一种基于核函数的函数型数据非参数回归方法

A Kernel Functions Based Nonparametric Functional Data Regression Approach

柳心阳 1李秀英 1耿发展1

作者信息

  • 1. 常熟理工学院 数学与统计学院,江苏 常熟 215500
  • 折叠

摘要

Abstract

Functional data analysis has attracted much attention in statistics learning due to its wide applications in different fields.Most of existing functional data regression approaches focus on linear models.And the discussion on nonlinear functional data regression is rare.In this paper,our goal is to propose a novel nonlinear regression approach for functional data analysis based on reproducing kernel functions.Some numerical experiments are performed to show the effectiveness of the proposed approach.

关键词

函数型数据分析/非线性回归方法/核方法/非参数回归

Key words

functional data analysis/nonlinear regression approach/kernel method/nonparametric regression

分类

数理科学

引用本文复制引用

柳心阳,李秀英,耿发展..一种基于核函数的函数型数据非参数回归方法[J].Journal of Changshu Institute of Technology,2025,39(2):103-106,4.

Journal of Changshu Institute of Technology

1008-2794

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