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International Journal for Uncertainty Quantification

Импакт фактор: 3.259
5-летний Импакт фактор: 2.547

Бесплатный онлайн-доступ

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

Статьи, принятые к публикации

Embedded Model Error Representation for Bayesian Model Calibration
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027384
A weight-bounded importance sampling method for variance reduction
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029511
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
A General Framework for Enhancing Sparsity of Generalized Polynomial Chaos Expansions
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027864
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