Nonparametric Additive Models for Billion Observations

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-02-15 DOI:10.1080/10618600.2024.2319684

Mengyu Li, Jingyi Zhang, Cheng Meng

引用次数: 0

Abstract

The nonparametric additive model (NAM) is a widely used nonparametric regression method. Nevertheless, due to the high computational burden, classic statistical techniques for fitting NAMs are not ...

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十亿观测数据的非参数加法模型

非参数加法模型（NAM）是一种广泛使用的非参数回归方法。然而，由于计算负担较重，用于拟合 NAM 的经典统计技术并不 ...

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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.