Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model's accuracy
type: Item
instance of: scholarly article
title: Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model's accuracy
author: Isabela Coelho Lima
author: Annika Robens-Radermacher
author: Thomas Titscher
author: Daniel Kadoke
author: Phaedon-Stelios Koutsourelakis
author: Jörg F. Unger
published in: Computational Mechanics
publication date: 2023-02-10T00:00:00Z
Mathematics Subject Classification ID: 74S60
Mathematics Subject Classification ID: 74E35
Mathematics Subject Classification ID: 74R05
zbMATH DE Number: 7652869
zbMATH Keywords: Bayesian model identification
zbMATH Keywords: variational inference
zbMATH Keywords: proper generalized decomposition
zbMATH Keywords: goal-oriented method
zbMATH Keywords: digital twin
zbMATH Keywords: log-normal random field
zbMATH Keywords: distributed damage identification
describes a project that uses: FEniCS
describes a project that uses: ADVI
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: s00466-022-02214-6
OpenAlex ID: W4292478225
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DOI: 10.1007/S00466-022-02214-6
description: scientific article