Double sparsity garrotized kernel machine in high-dimensional partially linear model

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-03-31 DOI:10.1080/03610918.2024.2329244

Xinyi Zhao, Yaohua Rong, Junze Lin, Maozai Tian, Jinwen Liang

引用次数: 0

Abstract

Obtaining excellent prediction accuracy in the high-dimensional partially linear model is particularly important. However, it is difficult to achieve due to the complex relationship between nonpara...

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高维部分线性模型中的双稀疏加码核机

在高维部分线性模型中获得出色的预测精度尤为重要。然而，由于非线性模型与线性模型之间的复杂关系，要实现这一目标非常困难。

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. 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.