Pages that link to "Item:Q4601417"
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The following pages link to Convergence analysis of surrogate-based methods for Bayesian inverse problems (Q4601417):
Displaying 25 items.
- Low-rank separated representation surrogates of high-dimensional stochastic functions: application in Bayesian inference (Q348754) (← links)
- Non-Gaussian statistical inverse problems. II: Posterior convergence for approximated unknowns (Q435840) (← links)
- Adaptive sampling-based quadrature rules for efficient Bayesian prediction (Q782004) (← links)
- Identify the fractional order and diffusion coefficient in a fractional diffusion wave equation (Q2020557) (← links)
- Polynomial surrogates for Bayesian traveltime tomography (Q2062365) (← links)
- Recovery of advection coefficient and fractional order in a time-fractional reaction-advection-diffusion-wave equation (Q2141572) (← links)
- Simultaneous identification of three parameters in a time-fractional diffusion-wave equation by a part of boundary Cauchy data (Q2189868) (← links)
- On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems (Q2194045) (← links)
- Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems (Q2214560) (← links)
- An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems (Q2222423) (← links)
- Stein variational gradient descent with local approximations (Q2246277) (← links)
- A non-intrusive reduced basis EKI for time fractional diffusion inverse problems (Q2300550) (← links)
- Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
- Adaptive neural network surrogate model for solving the implied volatility of time-dependent American option via Bayesian inference (Q2696739) (← links)
- Adaptive construction of surrogates for the Bayesian solution of inverse problems (Q2878948) (← links)
- Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification (Q4553787) (← links)
- Bayesian approach to a nonlinear inverse problem for a time-space fractional diffusion equation (Q4555031) (← links)
- Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations (Q4643803) (← links)
- An Acceleration Strategy for Randomize-Then-Optimize Sampling Via Deep Neural Networks (Q5079536) (← links)
- An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems (Q5162376) (← links)
- Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems (Q5216784) (← links)
- Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth (Q5228367) (← links)
- Convergence of spectral likelihood approximation based on q-Hermite polynomials for Bayesian inverse problems (Q5869782) (← links)
- A new bi-fidelity model reduction method for Bayesian inverse problems (Q6553850) (← links)
- Adaptive operator learning for infinite-dimensional Bayesian inverse problems (Q6669407) (← links)
