Pages that link to "Item:Q2872960"

The following pages link to Uncertainty quantification. Theory, implementation, and applications (Q2872960):

Displaying 50 items.

• POD-based model reduction for stabilized finite element approximations of shallow water flows (Q268299) (← links)
• Computing probabilistic solutions of the Bernoulli random differential equation (Q313637) (← links)
• Uncertainty quantification. An accelerated course with advanced applications in computational engineering (Q516090) (← links)
• Gradient free active subspace construction using Morris screening elementary effects (Q521467) (← links)
• An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes (Q525917) (← links)
• A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (Q660189) (← links)
• Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation (Q726924) (← links)
• Spectral likelihood expansions for Bayesian inference (Q729504) (← links)
• Quantification of uncertainty: improving efficiency and technology. QUIET. Selected contributions based on the presentations at the international workshop, Trieste, Italy, July 18--21, 2017 (Q786126) (← links)
• Information content in data sets: a review of methods for interrogation and model comparison (Q1637473) (← links)
• Robust averaged control of vibrations for the Bernoulli-Euler beam equation (Q1673893) (← links)
• Extending the deterministic Riemann-Liouville and Caputo operators to the random framework: A mean square approach with applications to solve random fractional differential equations (Q1677783) (← links)
• Dual dynamically orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions (Q1700722) (← links)
• Random non-autonomous second order linear differential equations: mean square analytic solutions and their statistical properties (Q1713837) (← links)
• A unified framework for stochastic optimization (Q1719609) (← links)
• Parameter subset selection techniques for problems in mathematical biology (Q1734650) (← links)
• Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques (Q1739820) (← links)
• Computing the probability density function of non-autonomous first-order linear homogeneous differential equations with uncertainty (Q1747307) (← links)
• An optimal point estimate method for uncertainty studies. (Discussion paper) (Q1900589) (← links)
• Projection methods for stochastic dynamic systems: a frequency domain approach (Q1986213) (← links)
• A marginalized unscented Kalman filter for efficient parameter estimation with applications to finite element models (Q1986271) (← links)
• Fast sampling of parameterised Gaussian random fields (Q1987947) (← links)
• Reduced model of macro-scale stochastic plasticity identification by Bayesian inference: application to quasi-brittle failure of concrete (Q2021054) (← links)
• Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model (Q2041305) (← links)
• A review of uncertainty quantification for density estimation (Q2048457) (← links)
• A data-driven model of the role of energy in sepsis (Q2068719) (← links)
• Quantify uncertainty by estimating the probability density function of the output of interest using MLMC based Bayes method (Q2083326) (← links)
• On the random wave equation within the mean square context (Q2118444) (← links)
• Computing the density function of complex models with randomness by using polynomial expansions and the RVT technique. Application to the SIR epidemic model (Q2120398) (← links)
• Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters (Q2122866) (← links)
• Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods (Q2123750) (← links)
• Weighted essentially non-oscillatory stochastic Galerkin approximation for hyperbolic conservation laws (Q2125426) (← links)
• Identification of model uncertainty via optimal design of experiments applied to a mechanical press (Q2138321) (← links)
• The damped pendulum random differential equation: a comprehensive stochastic analysis via the computation of the probability density function (Q2151766) (← links)
• IGA-based multi-index stochastic collocation for random PDEs on arbitrary domains (Q2173588) (← links)
• Uncertainty quantification in stability analysis of chaotic systems with discrete delays (Q2201356) (← links)
• Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique (Q2207345) (← links)
• Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling (Q2231105) (← links)
• Probabilistic analysis of a class of impulsive linear random differential equations via density functions (Q2235065) (← links)
• Estimating parameter and discretization uncertainties using a laminar-turbulent transition model (Q2245551) (← links)
• A study on discrete and discrete fractional pharmacokinetics-pharmacodynamics models for tumor growth and anti-cancer effects (Q2278227) (← links)
• A hyperbolicity-preserving discontinuous stochastic Galerkin scheme for uncertain hyperbolic systems of equations (Q2297075) (← links)
• Strong convergence rates of probabilistic integrators for ordinary differential equations (Q2302455) (← links)
• A modern retrospective on probabilistic numerics (Q2302460) (← links)
• Analysis of parametric models. Linear methods and approximations (Q2305542) (← links)
• Second order linear differential equations with analytic uncertainties: stochastic analysis via the computation of the probability density function (Q2306405) (← links)
• Evaluation of Galerkin and Petrov-Galerkin model reduction for finite element approximations of the shallow water equations (Q2309775) (← links)
• Asynchronous space-time domain decomposition method with localized uncertainty quantification (Q2310024) (← links)
• Combining polynomial chaos expansions and the random variable transformation technique to approximate the density function of stochastic problems, including some epidemiological models (Q2333974) (← links)
• Facets of uncertainties and applications. ICFUA, Kolkata, India, December 2013. Proceedings of the conference (Q2345590) (← links)