通用线性模型中分组正规化和变量选择的多功能后裔算法

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
Nathaniel E. Helwig
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引用次数: 0

摘要

本文提出了一种用于组弹性网惩罚回归的自适应有界梯度下降(ABGD)算法。与之前提出的算法不同,本文提出的算法能自适应地约束梯度下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models
This paper proposes an adaptively bounded gradient descent (ABGD) algorithm for group elastic net penalized regression. Unlike previously proposed algorithms, the proposed algorithm adaptively boun...
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来源期刊
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.
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