.png){kind=icon}
返回
Multiobjective regression modifications for collinearity
.png){kind=icon}
PRE
AI
DOI：10.1016/S0305-0548(00)00043-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this work we develop a new multivariate technique to produce regressions with interpretable coefficients that are close to and of the same signs as the pairwise regression coefficients. Using a multiobjective approach to incorporate multiple and pairwise regressions into one objective we reduce this technique to an eigenproblem that represents a hybrid between regression and principal component analyses. We show that our approach corresponds to a specific scheme of ridge regression with a total matrix added to the matrix of correlations.
Keyword:
multicollinearity
multiobjective optimization
ridge regression
principal component analysis
net effects
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
4.3
论文数:
6.5K
被引数:
1.8W
机构
暂无机构信息
引用论文
A Comprehensive Review of DC–DC Converter Topologies and Modulation Strategies with Recent Advances in Solar Photovoltaic Systems.png)
Electronics
OAAI
ElectronicsIF0
OAAI分享收藏分享收藏
查看更多内容