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International Journal for Uncertainty Quantification

Импакт фактор: 4.911
5-летний Импакт фактор: 3.179

Бесплатный онлайн-доступ

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Статьи, принятые к публикации

MFNets: Multi-fidelity data-driven networks for Bayesian learning and prediction
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032978
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033241
Variance reduction methods and multilevel Monte Carlo strategy for estimating densities of solutions to random second order linear differential equations
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032659
On Transfer Learning of Neural Networks using Bi-fidelity Data for Uncertainty Propagatio
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033267
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
MULTI-FIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY-INFORMED DATA UNCERTAINTY
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033068
Multifidelity Modeling of Irradiated Particle-Laden Turbulence Subject to Uncertainty
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032236
Multi-Fidelity modeling of Probabilistic Aerodynamic Databases for Use in Aerospace Engineering
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032841
Solving Stochastic Inverse Problems using Approximate Push-forward Densities based on a Multi-fidelity Monte Carlo Method
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030092
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