A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources
DOI10.1016/j.cma.2020.113632zbMath1506.74257OpenAlexW3115107750MaRDI QIDQ2021998
Stefan Görtz, Pietro Marco Congedo, Christian Sabater, Olivier P. Le Maître
Publication date: 27 April 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://elib.dlr.de/140373/1/Bayesian_Quantile_Sabater.pdf
computational fluid dynamicsrobust designaerodynamicsBayesian quantile regressionoptimization under uncertaintyhigh dimensional problems
Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Optimization of other properties in solid mechanics (74P10)
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Cites Work
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