Pages that link to "Item:Q2801319"
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The following pages link to Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography (Q2801319):
Displaying 10 items.
- Expectation propagation for nonlinear inverse problems -- with an application to electrical impedance tomography (Q348728) (← links)
- A Metropolis-Hastings-within-Gibbs sampler for nonlinear hierarchical-Bayesian inverse problems (Q2001214) (← links)
- A partially reflecting random walk on spheres algorithm for electrical impedance tomography (Q2374877) (← links)
- A stochastic simulation method for uncertainty quantification in the linearized inverse conductivity problem (Q2894981) (← links)
- Quantification of measurement error effects on conductivity reconstruction in electrical impedance tomography (Q4991543) (← links)
- Sampling-based Spotlight SAR Image Reconstruction from Phase History Data for Speckle Reduction and Uncertainty Quantification (Q5052902) (← links)
- Relaxed Gauss--Newton Methods with Applications to Electrical Impedance Tomography (Q5143302) (← links)
- Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography (Q6066517) (← links)
- A Benchmark for the Bayesian Inversion of Coefficients in Partial Differential Equations (Q6071826) (← links)
- Randomize-then-optimize: a method for sampling from posterior distributions in nonlinear inverse problems (Q6486761) (← links)
