Where Bayes tweaks Gauss: conditionally Gaussian priors for stable multi-dipole estimation
DOI10.3934/IPI.2021030zbMath1473.62097arXiv2006.04141OpenAlexW3162602167WikidataQ114022586 ScholiaQ114022586MaRDI QIDQ1983459
Alessandro Viani, Alberto Sorrentino, Gianvittorio Luria, Harald Bornfleth
Publication date: 10 September 2021
Published in: Inverse Problems and Imaging (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.04141
sequential Monte CarloBayesian inverse problemshierarchical modelshyperpriorconditionally Gaussian modelsM/EEG
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Image analysis in multivariate analysis (62H35) Monte Carlo methods (65C05) Biomedical imaging and signal processing (92C55) Sequential estimation (62L12)
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Cites Work
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Hierarchical Bayesian level set inversion
- Statistical and computational inverse problems.
- Statistical inverse problems: discretization, model reduction and inverse crimes
- Sequential Monte Carlo samplers for semi-linear inverse problems and application to magnetoencephalography
- Forward simulation and inverse dipole localization with the lowest order Raviart—Thomas elements for electroencephalography
- Inverse problems as statistics
- Conditionally Gaussian Hypermodels for Cerebral Source Localization
- Sequential Monte Carlo Samplers
- A Consistent Metric for Performance Evaluation of Multi-Object Filters
- Hierachical Bayesian models and sparsity: ℓ 2 -magic
- Sparse reconstructions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors
- Sparse Bayesian Imaging of Solar Flares
- Bayesian multi-dipole modelling of a single topography in MEG by adaptive sequential Monte Carlo samplers
- Monte Carlo sampling methods using Markov chains and their applications
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