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International Journal for Uncertainty Quantification

Impact factor: 0.967
5-Year Impact Factor: 1.301

Free Online Access

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

Forthcoming Articles

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
Hessian-based sampling for high-dimensional model reduction
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028753
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