Spectral Uncertainty Decomposition for Sparse Bayesian Learning
arXiv:2610.30207v1 Announce Type: new Abstract: Estimating distributed neural sources from M/EEG measurements is an ill-posed inverse problem where principled uncertainty quantification remains challenging. The usual conditional Gaussian posterior covariance does not explicitly distinguish uncertai…
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- 2026-10-23 04:00 · arXiv cs.LG
Spectral Uncertainty Decomposition for Sparse Bayesian Learning