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

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

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

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

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

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

important application is in data fitting. When the problem has substantial uncertainties in the independent variable (the x variable), then simple regression...

Uncertainty Uncertainty quantification Random-fuzzy variable JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in...

determined (epistemic uncertainty), and stochastic inputs, such as variation of process time (stochastic or aleatoric uncertainty). The software uses uncertain...

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

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

validation, and uncertainty quantification". The ISSN Portal. Retrieved 2024-06-23. "Journal of verification, validation, and uncertainty quantification". The ISSN...

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

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:...

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

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

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

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

approach to uncertainty quantification with application to supersonic nozzle thrust. International Journal for Uncertainty Quantification 2 (4): 363–81...

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...

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

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

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

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

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

He authored a series of reports that have been influential in uncertainty quantification for engineering risk assessment and design problems. "Ferson,...

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

estimate obtained by the first-order second moment (F.O.S.M.) uncertainty quantification technique which was state of the art in the 1980s. In order for...

A.; Nasser, R.; Sampaio, R.; Lopes, H.; Breitman, K. (2014). "Uncertainty quantification through the Monte Carlo method in a cloud computing setting"....