Kernel-based method for joint independence of functional variables

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-03-13 DOI:10.1080/03610926.2024.2326545

Terence Kevin Manfoumbi Djonguet, Guy Martial Nkiet

引用次数: 0

Abstract

This work investigates the problem of testing whether d functional random variables are jointly independent, using a modified estimator of the d-variable Hilbert Schmidt Indepedence Criterion (dHSI...

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基于核的函数变量联合独立性方法

这项研究利用 d 变量希尔伯特-施密特独立准则（dHSI）的修正估计器，探讨了检验 d 个函数随机变量是否共同独立的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.