Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety

DOI10.1007/s00180-017-0751-1zbMath1417.65054OpenAlexW2738512965MaRDI QIDQ1695538

Angelina Roche

Publication date: 7 February 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-017-0751-1

zbMATH Keywords

functional data analysisexperimental designblack-box optimizationresponse surface methods

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Response surface designs (62K20)

Related Items (1)

Lasso in Infinite dimension: application to variable selection in functional multivariate linear regression

Uses Software

• fda (R)
• rsm

Cites Work

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