小波特征筛选

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-04-15 DOI:10.1080/10618600.2024.2342984

Rodney Fonseca, Pedro Morettin, Aluísio Pinheiro

引用次数: 0

摘要

对相关协变量进行初步筛选是高维回归模型中的常见做法。经典的特征筛选只选择与模型相关的协变量子集。

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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Wavelet feature screening

An initial screening of which covariates are relevant is a common practice in high-dimensional regression models. The classic feature screening selects only a subset of covariates correlated with t...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.