Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications...

Experimental uncertainty analysis Interval finite element Measurement uncertainty Numerical stability Probability bounds analysis Uncertainty quantification Random-fuzzy...

Statistical mechanics Subjective logic Uncertainty quantification Uncertainty tolerance Volatility, uncertainty, complexity and ambiguity Peter Norvig;...

analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis should be...

Least absolute deviations Least-squares spectral analysis Measurement uncertainty Orthogonal projection Proximal gradient methods for learning Quadratic...

The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is...

other words, uncertainty analysis aims to make a technical contribution to decision-making through the quantification of uncertainties in the relevant...

Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification,...

Conformal prediction (CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions (prediction...

cross-cultural psychology, uncertainty avoidance is how cultures differ on the amount of tolerance they have of unpredictability. Uncertainty avoidance is one of...

probabilistic uncertainty in the parameters of a system. In particular, PCE has been used as a surrogate model to facilitate uncertainty quantification analyses...

better. Importantly the NLPD assesses the quality of the model's uncertainty quantification. It is used for both regression and classification. To compute:...

Test method Uncertainty Uncertainty quantification JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement...

to: Urumqi Airlines (IATA code UQ) Ubiquinone, or coenzyme Q Uncertainty quantification Universal Queue, a concept in contact center design Université...

uncertainty quantification and has been editor of the Handbook of Uncertainty Quantification and the SIAM/ASA Journal on Uncertainty Quantification....

Teckentrup is a UK-based mathematician, known for her research on uncertainty quantification and numerical analysis. Her work focuses on multilevel Monte Carlo...

Optimization Orthogonal Polynomials and Special Functions Supercomputing Uncertainty Quantification SIAM publishes 18 research journals: SIAM Journal on Applied Mathematics...

risks quantified. In best practice, the quantification will be probabilistic in nature (Monte-Carlo is a common method used for quantification). Typically...

for fluids in complex geometries, general polynomial chaos for uncertainty quantification, and the Sturm-Liouville theory for partial differential equations...

optimization, adjoint solvers are now finding more and more use in uncertainty quantification. An adjoint solver allows one to compute the gradient of the quantity...

many purposes in mind. Some of those include: Uncertainty quantification: Characterize the uncertainty present in a computer simulation arising from unknowns...

Fidelity". International Journal for Uncertainty Quantification. 4 (5): 365–386. doi:10.1615/Int.J.UncertaintyQuantification.2014006914. ISSN 2152-5080. S2CID 14157948...

mathematician known for his contributions in computational mechanics and uncertainty quantification. He is an Emeritus Professor at the Laboratoire Modélisation et...

"Appendix B: Probability theory and functional spaces" (PDF). Uncertainty Quantification with Applications to Engineering Problems (PhD). Technical University...

The uncertainty parameter U is introduced by the Minor Planet Center (MPC) to quantify the uncertainty of a perturbed orbital solution for a minor planet...

feature modeling, automatic hyperparameter tuning, and predictive uncertainty quantification. Recently, a scalable version of the Bayesian SVM was developed...

simulation, computer experiments are used to perform inference such as uncertainty quantification. A model consists of the equations used to capture the behavior...

the development and application of validation, verification and uncertainty quantification (VVUQ) to computer simulation codes across a wide range of domains...

equations are used in wing shape optimization, fluid flow control and uncertainty quantification. Consider the following linear, scalar advection-diffusion equation...

to Bayesian approaches in order to incorporate ignorance and uncertainty quantification. These belief function approaches that are implemented within...