Pages that link to "Item:Q4785938"

The following pages link to The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (Q4785938):

Displaying 50 items.

• Multivariate Polynomial Chaos Expansions with Dependent Variables (Q4602895) (← links)
• Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation (Q4603503) (← links)
• Stochastic Finite Element Method for Torso Conductivity Uncertainties Quantification in Electrocardiography Inverse Problem (Q4607482) (← links)
• A Computational Stochastic Methodology for the Design of Random Meta-materials under Geometric Constraints (Q4607634) (← links)
• Efficient Stochastic Asymptotic-Preserving Implicit-Explicit Methods for Transport Equations with Diffusive Scalings and Random Inputs (Q4607639) (← links)
• Hypocoercivity and Uniform Regularity for the Vlasov--Poisson--Fokker--Planck System with Uncertainty and Multiple Scales (Q4609595) (← links)
• Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion (Q4610141) (← links)
• Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems (Q4610150) (← links)
• Uncertainty Quantification for Low-Frequency, Time-Harmonic Maxwell Equations with Stochastic Conductivity Models (Q4611518) (← links)
• Compressed Sensing with Sparse Corruptions: Fault-Tolerant Sparse Collocation Approximations (Q4611522) (← links)
• Sliced-Inverse-Regression--Aided Rotated Compressive Sensing Method for Uncertainty Quantification (Q4611526) (← links)
• Inexact Methods for Symmetric Stochastic Eigenvalue Problems (Q4611535) (← links)
• Modern Monte Carlo Variants for Uncertainty Quantification in Neutron Transport (Q4611813) (← links)
• Cardiovascular Modeling With Adapted Parametric Inference (Q4615456) (← links)
• Calibration of reduced-order model for a coupled Burgers equations based on PC-EnKF (Q4615575) (← links)
• Control and Systems Theory for Advanced Manufacturing (Q4625763) (← links)
• Bayesian adaptation of chaos representations using variational inference and sampling on geodesics (Q4626133) (← links)
• A High Order Stochastic Asymptotic Preserving Scheme for Chemotaxis Kinetic Models with Random Inputs (Q4627438) (← links)
• Uniform regularity in the random space and spectral accuracy of the stochastic Galerkin method for a kinetic-fluid two-phase flow model with random initial inputs in the light particle regime (Q4631387) (← links)
• Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity (Q4636357) (← links)
• Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems (Q4636367) (← links)
• Stochastic Basis Adaptation and Spatial Domain Decomposition for Partial Differential Equations with Random Coefficients (Q4636374) (← links)
• Stochastic Least-Squares Petrov--Galerkin Method for Parameterized Linear Systems (Q4636377) (← links)
• Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments (Q4636378) (← links)
• Reduced Basis Methods for Uncertainty Quantification (Q4636408) (← links)
• Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations (Q4643803) (← links)
• Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
• Using automatic differentiation for compressive sensing in uncertainty quantification (Q4685570) (← links)
• Hybrid Stochastic Kinetic Description of Two-Dimensional Traffic Dynamics (Q4691139) (← links)
• (Q4691866) (← links)
• A stabilized finite element method for stochastic incompressible Navier–Stokes equations (Q4902866) (← links)
• Computation of the effects of uncertainty in volatility on option pricing and hedging (Q4903549) (← links)
• Brownian Path Generation and Polynomial Chaos (Q4958391) (← links)
• A Low-Rank Solver for the Navier--Stokes Equations with Uncertain Viscosity (Q4960974) (← links)
• Density Estimation in Uncertainty Propagation Problems Using a Surrogate Model (Q4960992) (← links)
• Computing Invariant Sets of Random Differential Equations Using Polynomial Chaos (Q4961112) (← links)
• Modeling of Allee effect in biofilm formation via the stochastic bistable Allen–Cahn partial differential equation (Q4964408) (← links)
• Convergence Analysis and Adaptive Order Selection for the Polynomial Chaos Approach to Direct Optimal Control under Uncertainties (Q4965182) (← links)
• Data-driven forward discretizations for Bayesian inversion (Q4970560) (← links)
• Parameter estimation using polynomial chaos and maximum likelihood (Q4979576) (← links)
• Random field representations for stochastic elliptic boundary value problems and statistical inverse problems (Q4981608) (← links)
• Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network (Q4986840) (← links)
• Error Estimation of Polynomial Chaos Approximations in Transient Structural Dynamics (Q4987559) (← links)
• Quantification of measurement error effects on conductivity reconstruction in electrical impedance tomography (Q4991543) (← links)
• 10 Model order reduction in uncertainty quantification (Q4993251) (← links)
• Nonlinear geometric optics based multiscale stochastic Galerkin methods for highly oscillatory transport equations with random inputs (Q4994004) (← links)
• Lattice Boltzmann Method for Stochastic Convection-Diffusion Equations (Q4995115) (← links)
• Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (Q4995117) (← links)
• Polynomial Chaos as a Control Variate Method (Q4997403) (← links)
• Parameter-Robust Stochastic Galerkin Mixed Approximation for Linear Poroelasticity with Uncertain Inputs (Q5005003) (← links)