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ArticleScalable information inequalities for uncertainty quantification

Markos A. Katsoulakis2017

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Articlebronze2017

Scalable information inequalities for uncertainty quantification

Markos A. Katsoulakis · Luc Rey-Bellet · Jie Wang

25 citations·0/0 files stored·Journal of Computational Physics

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Probabilistic and Robust Engineering Design Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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References

2016Simulation and the Monte Carlo Method 2007Simulation and the Monte Carlo Method 2005Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design 2013Robust risk measurement and model risk 2016Robust Sensitivity Analysis for Stochastic Systems 2015Grant Peer Review: Improving Inter-Rater Reliability with Training 2016Path-Space Information Bounds for Uncertainty Quantification and Sensitivity Analysis of Stochastic Dynamics 2012Distinguishing and integrating aleatoric and epistemic variation in uncertainty quantification

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2020Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities

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Details

Year2017

Typearticle

Published2017-02-10

VenueJournal of Computational Physics

ISSN-L0021-9991

Languageen

Citations25

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.jcp.2017.02.020

openalex_workW2355724939

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