A general procedure for evaluating models and ensemble Support Vector Regression

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-07-31 DOI:10.1080/03610918.2024.2384569

Guoyi Zhang, Yulei He

引用次数: 0

Abstract

In practice, we may want to discover if there is a relationship between a response variable as a function of the predictor variables. Multiple linear regression (MLR) is a popular tool for such pur...

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评估模型和集合支持向量回归的一般程序

在实践中，我们可能希望发现响应变量与预测变量之间是否存在函数关系。多元线性回归 (MLR) 是用于此类目的的常用工具。

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

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.