Pages that link to "Item:Q2001214"
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The following pages link to A Metropolis-Hastings-within-Gibbs sampler for nonlinear hierarchical-Bayesian inverse problems (Q2001214):
Displaying 8 items.
- Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography (Q2801319) (← links)
- Analysis of the Gibbs Sampler for Hierarchical Inverse Problems (Q2938456) (← 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)
- Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems (Q4689166) (← links)
- Sampling-based Spotlight SAR Image Reconstruction from Phase History Data for Speckle Reduction and Uncertainty Quantification (Q5052902) (← links)
- A CVAE-within-Gibbs sampler for Bayesian linear inverse problems with hyperparameters (Q6040747) (← links)
- Randomize-then-optimize: a method for sampling from posterior distributions in nonlinear inverse problems (Q6486761) (← links)
