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Inverse Problems in a Bayesian Setting · Study

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ChapterInverse Problems in a Bayesian Setting

Hermann Georg Matthies2016

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Inverse Problems in a Bayesian Setting

Hermann Georg Matthies · Elmar Zander · Bojana Rosić · Alexander Litvinenko · Oliver Pajonk

53 citations·0/0 files stored·Computational methods in applied sciences

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Probabilistic and Robust Engineering Design Markov Chains and Monte Carlo Methods 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 1997Stochastic Analysis 2004Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations 2006Stochastic spectral methods for efficient Bayesian solution of inverse problems 1997Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach.2013Parameter identification in a probabilistic setting 2012Sampling-free linear Bayesian update of polynomial chaos representations

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2021An uncertainty quantification framework for multiscale parametrically homogenized constitutive models (PHCMs) of polycrystalline Ti alloys 2021gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective 2024Stochastic modelling of symmetric positive definite material tensors

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2013Inverse problems and uncertainty quantificationpreprint · 9 shared references 2014Variational Theory and Computations in Stochastic Plasticityarticle · 7 shared references 2013Parameter identification in a probabilistic settingarticle · 5 shared references 2012Acceleration of uncertainty updating in the description of transport processes in heterogeneous materialsarticle · 5 shared references 2024Stochastic modelling of symmetric positive definite material tensorsarticle · 5 shared references 2008Inelastic Media under Uncertainty: Stochastic Models and Computational Approacheschapter · 5 shared references

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Year2016

Typechapter

Published2016-01-01

VenueComputational methods in applied sciences

ISSN-L1871-3033

Languageen

Citations53

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/978-3-319-27996-1_10

openalex_workW1920004557

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