Test and Measure for Partial Mean Dependence Based on Machine Learning Methods

IF 3 1区数学 Q1 STATISTICS & PROBABILITY

Journal of the American Statistical Association Pub Date : 2024-06-11 DOI:10.1080/01621459.2024.2366030

Leheng Cai, Xu Guo, Wei Zhong

引用次数: 0

Abstract

It is of importance to investigate the significance of a subset of covariates W for the response Y given covariates Z in regression modeling. To this end, we propose a significance test for the par...

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基于机器学习方法的部分均值依赖性测试和测量方法

在回归模型中，研究给定协变量 Z 的协变量 W 子集对响应 Y 的显著性非常重要。为此，我们提出了一种针对副变量 W 的显著性检验方法。

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

Journal of the American Statistical Association 数学-统计学与概率论

CiteScore

7.50

自引率

8.10%

发文量

168

审稿时长

12 months

期刊介绍： Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA . JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.