A hierarchical multilevel Markov chain Monte Carlo algorithm with applications to uncertainty quantification in subsurface flow

In this paper we address the problem of the prohibitively large computational cost of existing Markov chain Monte Carlo methods for large-scale applications with high-dimensional parameter spaces, e.g., in uncertainty quantification in porous media flow. We propose a new multilevel Metropolis--Hasti...

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Hauptverfasser: Dodwell, Tim (VerfasserIn) , Ketelsen, C. (VerfasserIn) , Scheichl, Robert (VerfasserIn) , Teckentrup, A. L. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: November 3, 2015
In: SIAM ASA journal on uncertainty quantification
Year: 2015, Jahrgang: 3, Heft: 1, Pages: 1075-1108
ISSN:2166-2525
DOI:10.1137/130915005
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1137/130915005
Verlag, lizenzpflichtig, Volltext: https://epubs.siam.org/doi/abs/10.1137/130915005
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Verfasserangaben:T.J. Dodwell, C. Ketelsen, R. Scheichl, and A.L. Teckentrup

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