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;...

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...

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

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

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

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

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

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

and high-energy density materials. He also actively focuses on uncertainty quantification across the field of materials modelling. He previously served...

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

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

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

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

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

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...

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

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

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...

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

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

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

gradient. Average-case analysis Information-based complexity Uncertainty quantification Hennig, P.; Osborne, M. A.; Kersting, H. P. (2022). Probabilistic...

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

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...

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...

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

h_{\ell }=2^{-\ell }T} . The application of MLMC to problems in uncertainty quantification (UQ) is an active area of research. An important prototypical...