Inverse regression-based uncertainty quantification algorithms for high-dimensional models: theory and practice

DOI10.1016/j.jcp.2016.05.040zbMath1349.62133OpenAlexW2398436715MaRDI QIDQ726930

D. Kharzeev

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2016.05.040

zbMATH Keywords

high dimensionalityuncertainty quantificationsufficient dimension reductioncontrol variatespolynomial chaossliced inverse regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Monte Carlo methods (65C05)

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