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

zbMATH Keywords

sequential Monte CarloBayesian inverse problemshierarchical modelshyperpriorconditionally Gaussian modelsM/EEG

Mathematics Subject Classification ID

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)

Related Items (1)

Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-blackwellized SMC samplers

Uses Software

• MNE

Cites Work

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