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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

ACCRUE: Accurate and Reliable Uncertainty Estimate in Deterministic models
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034623
Local Voronoi tessellations for robust multi-wave calibration of computer models
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034779
Explicit Estimation of Derivatives from Data and Differential Equations by Gaussian Process Regression
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034382
Robust Importance Sampling for Bayesian Model Calibration with Spatio-Temporal Data
DOI: 10.1615/Int.J.UncertaintyQuantification.2021033499
Dealing with inconsistent measurements in inverse problems: set-based approach
DOI: 10.1615/Int.J.UncertaintyQuantification.2021035536
ERROR CONTROL IN THE NUMERICAL POSTERIOR DISTRIBUTION IN THE BAYESIAN UQ ANALYSIS OF A SEMILINEAR EVOLUTION PDE
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033516
Application of the ?-Neumann-Monte Carlo methodology in the quantification of uncertainties in the problem of stochastic bending of Kirchhoff plates
DOI: 10.1615/Int.J.UncertaintyQuantification.2020034192
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
Multi-Index Sequential Monte Carlo Methods for partially observed Stochastic Partial Differential Equations
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033219
Method of Distributions for Systems with Stochastic Forcing
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031940
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