具有高维特征和大量类别的多项式逻辑回归的类别分布式学习

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-05-31 DOI:10.1080/10618600.2024.2362230

Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang

引用次数: 0

摘要

估计具有更多类别的高维多项式逻辑回归模型具有根本性的重要意义，但它也带来了两个挑战。在计算上，它导致了大量的...

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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Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes

Estimating a high-dimensional multinomial logistic regression model with a larger number of categories is of fundamental importance but it presents two challenges. Computationally, it leads to heav...

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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.