Efficient Markov chain Monte Carlo sampling for electrical impedance tomography
This paper studies electrical impedance tomography (EIT) using Bayesian inference [1]. The resulting posterior distribution is sampled by Markov chain Monte Carlo (MCMC) [2]. This paper studies a toy model of EIT as the one presented in [3], and focuses on efficient MCMC sampling for this model. F...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2017-01-01
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| Serie: | Computer Assisted Methods in Engineering and Science |
| Soggetti: | |
| Accesso online: | https://cames.ippt.pan.pl/index.php/cames/article/view/41 |
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