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International Journal for Uncertainty Quantification
インパクトファクター: 4.911 5年インパクトファクター: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099

Open Access

International Journal for Uncertainty Quantification

近刊の記事:

Foreword: Special Issue on Multilevel-Multifidelity Approaches for Uncertainty Quantification
Michael Eldred, Gianluca Geraci, Gianluca Iaccarino
DOI: 10.1615/Int.J.UncertaintyQuantification.2020036984
An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion
Truong Vinh Hoang, Hermann G. Matthies
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031869
Isogeometric Methods for Karhunen-Loeve Representation of Random Fields on Arbitrary Multi-patch Domains
Ramin Jahanbin, Sharif Rahman
DOI: 10.1615/Int.J.UncertaintyQuantification.2020035185
Kernel optimization for Low-Rank Multi-Fidelity Algorithms
Mani Razi, Mike Kirby, Akil Narayan
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033212
Multi-Index Sequential Monte Carlo Methods for partially observed Stochastic Partial Differential Equations
Kody Law, Ajay Jasra, Yaxian Xu
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033219
Deep learning of parameterized equations with applications to uncertainty quantification
Tong Qin, Zhen Chen, John Jakeman, Dongbin Xiu
DOI: 10.1615/Int.J.UncertaintyQuantification.2020034123
Method of Distributions for Systems with Stochastic Forcing
Rik Rutjens, Gustaaf Jacobs, Daniel Tartakovsky
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031940
A NON-NESTED INFILLING STRATEGY FOR MULTI-FIDELITY BASED EFFICIENT GLOBAL OPTIMIZATION
Matthieu Sacher, Olivier Le Maître, Régis Duvigneau, Frédéric Hauville, Mathieu Durand, Corentin Lothodé
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032982
PARAMETER ESTIMATION OF STOCHASTIC CHAOTIC SYSTEMS
Ramona Maraia, sebastian springer, Heikki Haario, Janne Hakkarainen, Eero Saksman
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032807
Computation of Sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds
Maarten Arnst, Christian Soize, Kevin Bulthuis
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032674
Stochastic Spectral Embedding
Stefano Marelli, Paul-Remo Wagner, Christos Lataniotis, Bruno Sudret
DOI: 10.1615/Int.J.UncertaintyQuantification.2020034395