A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media

DOI10.1016/j.jcp.2013.05.006zbMath1349.65045OpenAlexW1987180795MaRDI QIDQ340932

Peng Chen, Nicholas Zabaras

Publication date: 15 November 2016

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

Full work available at URL: https://doi.org/10.1016/j.jcp.2013.05.006

zbMATH Keywords

loopy belief propagationporous media flowprobabilistic graphical modelsuncertainty quantificationpredictive modelingnonparametric belief propagation

Mathematics Subject Classification ID

Nonparametric tolerance and confidence regions (62G15) Flows in porous media; filtration; seepage (76S05)

Related Items

Parallel probabilistic graphical model approach for nonparametric Bayesian inference ⋮ Uncertainty propagation using infinite mixture of gaussian processes and variational Bayesian inference

Uses Software

• Trilinos
• DOLFIN
• GMRFLib

Cites Work

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