Uncertainty Quantification: Theory, Implementation, and Applications (Computational Science & Engineering)
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Phylogenetic Trees and Molecular Evolution: A Hands-on Introduction with Uncertainty Quantification Corrected (SpringerBriefs in Systems Biology)
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Quantification, Validation and Uncertainty in Analytical Sciences: An Analyst's Companion
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COMSOL Multiphysics 6: Contaminant Hydrogeology and Uncertainty Quantification
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Uncertainty Quantification: Theory, Implementation, and Applications: 30 (Computational Science and Engineering)
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On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory (Springer Theses)
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Uncertainty Quantification in Multiscale Materials Modeling (Elsevier Series in Mechanics of Advanced Materials)
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Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety
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Machine Learning Learning Beyond Point Predictions: Uncertainty Quantification
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Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers
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Bayesian Inference and MCMC Methods for Finance: Hierarchical Models, Portfolio Optimization, and Uncertainty Quantification
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
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Computational Modeling and Simulation of Medical Devices: Verification, Validation, and Uncertainty Quantification
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Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification
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Probabilistic Machine Learning with Python: Bayesian Inference, Uncertainty Quantification, and Predictive Modeling with PyMC, Stan, and Scikit-Learn
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Introduction to Uncertainty Quantification: 63 (Texts in Applied Mathematics, 63)
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Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon
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Uncertainty Quantification and Stochastic Modelling with EXCEL (Springer Texts in Business and Economics)
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Model Validation and Uncertainty Quantification in Biomechanics: From Soft Biological Tissue to Blood Flow (Biomechanics of Living Organs)
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Introduction to Uncertainty Quantification
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Uncertainty Quantification and Uncertainty Propagation under Traditional and AI-Based Data Processing (and Related Topics): Legacy of Grigory Tseytin (Studies in Systems, Decision and Control, 660)
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Uncertainty Quantification in Variational Inequalities : Theory, Numerics, and Applications
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Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models (Synthesis Lectures on Mathematics & Statistics)
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Decision-Making for Earth Resource Development : Quantifying Uncertainty
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