Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-10-03 DOI:10.1080/10618600.2024.2409817

Yuan Gao, Rui Pan, Feng Li, Riquan Zhang, Hansheng Wang

引用次数: 0

Abstract

Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed system is a prob...

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用于分布式非参数平滑和预测的网格点近似法

核平滑法是现代统计分析中广泛使用的一种非参数方法。如何在分布式系统上高效地对海量数据集进行核平滑是一个难题。

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.