Pages that link to "Item:Q76868"
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The following pages link to SIAM/ASA Journal on Uncertainty Quantification (Q76868):
Displaying 50 items.
- Error Estimate of a Quasi-Monte Carlo Time-Splitting Pseudospectral Method for Nonlinear Schrödinger Equation with Random Potentials (Q6131416) (← links)
- Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh Refinement (Q6131418) (← links)
- Projective Integral Updates for High-Dimensional Variational Inference (Q6131419) (← links)
- Multifidelity Bayesian Experimental Design to Quantify Rare-Event Statistics (Q6131420) (← links)
- Adaptive Importance Sampling Based on Fault Tree Analysis for Piecewise Deterministic Markov Process (Q6131422) (← links)
- Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy (Q6131423) (← links)
- Perron–Frobenius Operator Filter for Stochastic Dynamical Systems (Q6131424) (← links)
- A Multilevel Stochastic Collocation Method for Schrödinger Equations with a Random Potential (Q6164126) (← links)
- Multilevel Delayed Acceptance MCMC (Q6164127) (← links)
- Multifidelity Surrogate Modeling for Time-Series Outputs (Q6164166) (← links)
- The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models (Q6164169) (← links)
- Wavenumber-Explicit Parametric Holomorphy of Helmholtz Solutions in the Context of Uncertainty Quantification (Q6164170) (← links)
- Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise (Q6164171) (← links)
- On Unbiased Estimation for Discretized Models (Q6164172) (← links)
- A Continuation Method in Bayesian Inference (Q6164173) (← links)
- Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices (Q6177922) (← links)
- Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions (Q6177923) (← links)
- Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling (Q6177924) (← links)
- Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions (Q6177925) (← links)
- Quantifying and Managing Uncertainty in Piecewise-Deterministic Markov Processes (Q6177927) (← links)
- Active Learning of Tree Tensor Networks using Optimal Least Squares (Q6177928) (← links)
- Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov–Galerkin Method (Q6177929) (← links)
- Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs (Q6188687) (← links)
- Sensitivity Analysis of Quasi-Stationary Distributions (QSDs) of Mass-Action Systems (Q6188688) (← links)
- An Order-Theoretic Perspective on Modes and Maximum A Posteriori Estimation in Bayesian Inverse Problems (Q6188689) (← links)
- Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks (Q6188691) (← links)
- Theoretical Guarantees for the Statistical Finite Element Method (Q6188693) (← links)
- Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria (Q6188695) (← links)
- Space-time Multilevel Quadrature Methods and their Application for Cardiac Electrophysiology (Q6188697) (← links)
- Fully Bayesian Inference for Latent Variable Gaussian Process Models (Q6188699) (← links)
- Corrigendum to: ``Quasi-Monte Carlo finite element analysis for wave propagation in heterogeneous random media'' (Q6554966) (← links)
- A method of moments estimator for interacting particle systems and their mean field limit (Q6554967) (← links)
- Computing statistical moments via tensorization of polynomial chaos expansions (Q6554968) (← links)
- Wavelet-based density estimation for persistent homology (Q6554969) (← links)
- Nonparametric estimation for independent and identically distributed stochastic differential equations with space-time dependent coefficients (Q6554970) (← links)
- Conglomerate multi-fidelity Gaussian process modeling, with application to heavy-ion collisions (Q6554973) (← links)
- Quantifying domain uncertainty in linear elasticity (Q6554974) (← links)
- Differential equation-constrained optimization with stochasticity (Q6554975) (← links)
- One-shot learning of surrogates in PDE-constrained optimization under uncertainty (Q6587616) (← links)
- Generalized Bayesian MARS: tools for stochastic computer model emulation (Q6587618) (← links)
- Proportional marginal effects for global sensitivity analysis (Q6587621) (← links)
- A combination technique for optimal control problems constrained by random PDEs (Q6587622) (← links)
- Choosing observation operators to mitigate model error in Bayesian inverse problems (Q6587623) (← links)
- Hyperparameter estimation for sparse Bayesian learning models (Q6587624) (← links)
- Emulating complex dynamical simulators with random Fourier features (Q6587625) (← links)
- Spectral convergence of a semi-discretized numerical system for the spatially homogeneous Boltzmann equation with uncertainties (Q6587626) (← links)
- Harmonizable nonstationary processes (Q6587627) (← links)
- Conditional sampling with monotone GANs: from generative models to likelihood-free inference (Q6587628) (← links)
- A fully parallelized and budgeted multilevel Monte Carlo method and the application to acoustic waves (Q6645123) (← links)
- Adaptive multilevel subset simulation with selective refinement (Q6645124) (← links)
