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ArticleKernel principal component analysis for stochastic input model generation

Xiang Ma2011

Article2011

Kernel principal component analysis for stochastic input model generation

Xiang Ma · Nicholas J. Zabaras

93 citations·0/0 files stored·Journal of Computational Physics

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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References

1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2005High-Order Collocation Methods for Differential Equations with Random Inputs 2003Modeling uncertainty in flow simulations via generalized polynomial chaos 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data 2008A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data 2009An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations 2007Sparse grid collocation schemes for stochastic natural convection problems

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2016DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments 2020Recent progress of uncertainty quantification in small-scale materials science 2013Karhunen–Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.2023Applying artificial intelligence to determination of legal age of majority from radiographic data

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Year2011

Typearticle

Published2011-06-26

VenueJournal of Computational Physics

ISSN-L0021-9991

Languageen

Citations93

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.jcp.2011.05.037

openalex_workW2042996313

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