A distributed Gibbs sampler with hypergraph structure for high-dimensional inverse problems
PA Thouvenin, A Repetti… - … of Computational and …, 2022 - researchportal.hw.ac.uk
Sampling-based algorithms are classical approaches to perform Bayesian inference in
inverse problems. They provide estimators with the associated credibility intervals to quantify …
inverse problems. They provide estimators with the associated credibility intervals to quantify …
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Sampling-based algorithms are classical approaches to perform Bayesian inference in
inverse problems. They provide estimators with the associated credibility intervals to quantify …
inverse problems. They provide estimators with the associated credibility intervals to quantify …