非参数加法模型的独立鼓励子采样

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-03-01 DOI:10.1080/10618600.2024.2326136

Yi Zhang, Lin Wang, Xiaoke Zhang, HaiYing Wang

引用次数: 0

摘要

加法模型是一种流行的非参数回归方法，因为它既能保持建模的灵活性，又能避免维度诅咒。反拟合算法是一种直观的回归方法。

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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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.