Smoothing Spline ANOVA for Variable Screening

被引：0

作者：

Ricco, Laura ^{[1
]}

Rigoni, Enrico ^{[1
]}

Turco, Alessandro ^{[1
]}

机构：

[1] ESTECO Spa, Area Sci Pk, Trieste, Italy

来源：

DOLOMITES RESEARCH NOTES ON APPROXIMATION | 2013年 / 6卷

关键词：

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Smoothing Spline ANOVA is a statistical modeling algorithm based on a function decomposition similar to the classical analysis of variance (ANOVA) decomposition and the associated notions of main effect and interaction. It represents a suitable screening technique for detecting important variables (Variable Screening) in a given dataset. We present the mathematical background together with possible industrial applications.

引用

页码：130 / 139

页数：10

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