Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media (Q5228359)

scientific article; zbMATH DE number 7091911

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English	Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media	scientific article; zbMATH DE number 7091911

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instance of

scholarly article

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title

Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media (English)

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author

Constantin Grigo

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Phaedon-Stelios Koutsourelakis

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published in

SIAM/ASA Journal on Uncertainty Quantification

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publication date

12 August 2019

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full work available at URL

https://arxiv.org/abs/1711.02475

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zbMATH Keywords

Bayesian

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model-order reduction

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dimensionality reduction

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stochastic variational inference

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sparsity

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random media

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describes a project that uses

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MaRDI publication profile

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cites work

Subgrid Upscaling and Mixed Multiscale Finite Elements

0 references

Learning Deep Architectures for AI

0 references

Q5270493

0 references

Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations

0 references

Multi-output local Gaussian process regression: applications to uncertainty quantification

0 references

Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification

0 references

Multi-output separable Gaussian process: towards an efficient, fully Bayesian paradigm for uncertainty quantification

0 references

Q5483032

0 references

Lectures on Fourier Integrals. (AM-42)

0 references

Reduced Basis Methods for Uncertainty Quantification

0 references

Active Subspaces

0 references

Data-driven model reduction for the Bayesian solution of inverse problems

0 references

Q4139463

0 references

Multiscale finite element methods for porous media flows and their applications

0 references

Least angle regression. (With discussion)

0 references

Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients

0 references

Reduced basis' acquisition by a learning process for rapid on-line approximation of solution to PDE's: laminar flow past a backstep

0 references

A non-linear dimension reduction methodology for generating data-driven stochastic input models

0 references

Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations

0 references

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

0 references

Bayesian lasso regression

0 references

A variational approach to the theory of the elastic behaviour of multiphase materials

0 references

Certified Reduced Basis Methods for Parametrized Partial Differential Equations

0 references

Q2933843

0 references

Predicting the output from a complex computer code when fast approximations are available

0 references

Wrappers for feature subset selection

0 references

Q3655273

0 references

Accurate Uncertainty Quantification Using Inaccurate Computational Models

0 references

Special issue: Big data and predictive computational modeling

0 references

An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations

0 references

Kernel principal component analysis for stochastic input model generation

0 references

Q4457477

0 references

A Generalized Empirical Interpolation Method: Application of Reduced Basis Techniques to Data Assimilation

0 references

Effective properties of composite materials with periodic microstructure: A computational approach

0 references

Homogenization of inelastic solid materials at finite strains based on incremental minimization principles. Application to the texture analysis of polycrystals.

0 references

A Branch and Bound Algorithm for Feature Subset Selection

0 references

Q4217799

0 references

Bayesian learning for neural networks

0 references

Microstructural Randomness and Scaling in Mechanics of Materials

0 references

Reduced Basis Methods for Partial Differential Equations

0 references

Hidden physics models: machine learning of nonlinear partial differential equations

0 references

Sequential Operations in Digital Picture Processing

0 references

Q4256621

0 references

A multi-length scale sensitivity analysis for the control of texture-dependent properties in deformation processing

0 references

Q4864293

0 references

10.1162/15324430152748236

0 references

Probabilistic Principal Component Analysis

0 references

Random heterogeneous materials. Microstructure and macroscopic properties

0 references

Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis <i>a posteriori</i> error bounds

0 references

Sparse Bayesian Learning for Basis Selection

0 references

Manifold learning for the emulation of spatial fields from computational models

0 references

High-Order Collocation Methods for Differential Equations with Random Inputs

0 references

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

0 references

Identifiers

zbMATH Open document ID

1422.62377

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DOI

10.1137/17M1155867

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5228359