Pages that link to "Item:Q2129320"
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The following pages link to Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems (Q2129320):
Displaying 9 items.
- Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection (Q1988268) (← links)
- Randomized reduced forward models for efficient Metropolis-Hastings MCMC, with application to subsurface fluid flow and capacitance tomography (Q2023287) (← links)
- Binned Multilevel Monte Carlo for Bayesian Inverse Problems with Large Data (Q2815041) (← links)
- Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors (Q2945165) (← links)
- A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems (Q3130408) (← links)
- An MCMC method for uncertainty quantification in nonnegativity constrained inverse problems (Q3167885) (← links)
- Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-blackwellized SMC samplers (Q6063154) (← links)
- Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography (Q6109154) (← links)
- Adaptive neural network surrogate model for solving the nonlinear elastic inverse problem via Bayesian inference (Q6583083) (← links)
