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International Journal for Uncertainty Quantification

影响因子: 4.911
5年影响因子: 3.179

Free Online Access

ISSN 打印: 2152-5080
ISSN 在线: 2152-5099

将发表的论文

On the Multilevel Monte Carlo Estimation of Unbiased Expectation Via Sequence Extrapolation
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032985
Foreword: Special Issue on Multilevel-Multifidelity Approaches for Uncertainty Quantification
DOI: 10.1615/Int.J.UncertaintyQuantification.2020036984
An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031869
Isogeometric Methods for Karhunen-Loeve Representation of Random Fields on Arbitrary Multi-patch Domains
DOI: 10.1615/Int.J.UncertaintyQuantification.2020035185
Kernel optimization for Low-Rank Multi-Fidelity Algorithms
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033212
Multi-Index Sequential Monte Carlo Methods for partially observed Stochastic Partial Differential Equations
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033219
Deep learning of parameterized equations with applications to uncertainty quantification
DOI: 10.1615/Int.J.UncertaintyQuantification.2020034123
Method of Distributions for Systems with Stochastic Forcing
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031940
A NON-NESTED INFILLING STRATEGY FOR MULTI-FIDELITY BASED EFFICIENT GLOBAL OPTIMIZATION
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032982
PARAMETER ESTIMATION OF STOCHASTIC CHAOTIC SYSTEMS
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032807
Computation of Sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032674
Stochastic Spectral Embedding
DOI: 10.1615/Int.J.UncertaintyQuantification.2020034395
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