Surrogate-based parameter inference in debris flow model

DOI10.1007/s10596-018-9765-1zbMath1407.62447OpenAlexW2886299792WikidataQ129421967 ScholiaQ129421967MaRDI QIDQ1629727

Kyle T. Mandli, Ibrahim Hoteit, Omar M. Knio, Maria Navarro, David L. George, Olivier P. Le Maître

Publication date: 12 December 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-018-9765-1

zbMATH Keywords

Bayesian inferenceuncertainty quantificationpolynomial chaos expansiondebris flow

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to physics (62P35)

Related Items (2)

A polynomial chaos framework for probabilistic predictions of storm surge events ⋮ Polynomial surrogates for Bayesian traveltime tomography

Uses Software

• Matlab
• CLAWPACK
• Optimization Toolbox
• BayesDA
• D-Claw
• GitHub

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