期望高维模型的平滑经验似然估计和自动变量选择

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-08-01 DOI:10.1080/03610926.2024.2376676

Gabriela Ciuperca

引用次数: 0

摘要

我们考虑的线性模型可能有大量解释变量，误差分布不对称，或者被解释变量的值随机缺失。为了...

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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Smoothed empirical likelihood estimation and automatic variable selection for an expectile high-dimensional model

We consider a linear model which can have a large number of explanatory variables, the errors with an asymmetric distribution or the values of the explained variable are missing at random. In order...

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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.