Quasi-regression with shrinkage

DOI10.1016/S0378-4754(02)00253-7zbMath1019.65005OpenAlexW2074619783MaRDI QIDQ1873015

Art B. Owen, Tao Jiang

Publication date: 19 May 2003

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(02)00253-7

zbMATH Keywords

waveletsnumerical exampleneural networkMonte Carlo methodglobal sensitivity analysismachine learningcomputer experimentsquasi-regressiontensor product bases

Mathematics Subject Classification ID

Monte Carlo methods (65C05)

Related Items (6)

Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions ⋮ Orthogonal arrays for estimating global sensitivity indices of non-parametric models based on ANOVA high-dimensional model representation ⋮ Unbiased generalized quasi-regression ⋮ Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition ⋮ Generalized Quasi-Regression ⋮ A screening approach for non-parametric global sensitivity analysis

Uses Software

• R
• S-PLUS

Cites Work

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• The elements of statistical learning. Data mining, inference, and prediction

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