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International Journal for Uncertainty Quantification
Free Online Access

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

Forthcoming Articles

Preface
DOI: 10.1615/Int.J.UncertaintyQuantification.2024056374
Sobol’ sensitivity indices– A Machine Learning approach using the Dynamic Adaptive Variances Estimator with Given Data
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051654
Bayesian³ Active learning for regularized arbitrary multi-element polynomial chaos using information theory
DOI: 10.1615/Int.J.UncertaintyQuantification.2024052675
A novel probabilistic transfer learning strategy for polynomial regression
DOI: 10.1615/Int.J.UncertaintyQuantification.2024052051
Variance-based sensitivity of Bayesian inverse problems to the prior distribution
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051475
Extremes of vector-valued processes by finite dimensional models
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051826
Learning a class of stochastic differential equations via numerics-informed Bayesian denoising
DOI: 10.1615/Int.J.UncertaintyQuantification.2024052020
Covariance estimation using h-statistics in Monte Carlo and multilevel Monte Carlo methods
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051528
Bayesian Parameter Inference for Partially Observed Diffusions using Multilevel Stochastic Runge-Kutta Methods
DOI: 10.1615/Int.J.UncertaintyQuantification.2024051131
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