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International Journal for Uncertainty Quantification

インパクトファクター: 0.967
5年インパクトファクター: 1.301

Free Online Access

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

近刊の記事

A weight-bounded importance sampling method for variance reduction
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029511
A special issue celebrating a new UQ activity group in China -- Preface
DOI: 10.1615/Int.J.UncertaintyQuantification.2019030761
Numerical approximation of elliptic problems with log-normal random coefficients
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029046
Reducing Fracture Prediction Uncertainty Based On Time-Lapse Seismic (4D) And Deterministic Inversion Algorithm
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027680
An adaptive multi-fidelity PC-based ensemble Kalman inversion for inverse problems
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029059
Variable-separation based iterative ensemble smoother for Bayesian inverse problems in anomalous diffusion reaction models
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028759
A Multilevel Approach for Sequential Inference on Partially Observed Deterministic Systems
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027245
Using Parallel Markov Chain Monte Carlo to Quantify Uncertainties in Geothermal Reservoir Calibration
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029282
An efficient numerical method for uncertainty quantification in cardiology models
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027857
Adjoint Forward Backward Stochastic Differential Equations Driven by Jump Diffusion Processes and Its Application to Nonlinear Filtering Problems
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028300
A General Framework for Enhancing Sparsity of Generalized Polynomial Chaos Expansions
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027864
Random regularity of a nonlinear Landau Damping solution for the Vlasov-Poisson equations with random inputs
DOI: 10.1615/Int.J.UncertaintyQuantification.2019026936
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