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Compressible Distributions for High-dimensional Statistics
Was previously entitled "Compressible priors for high-dimensional statistics" -
Reconciling "priors" & "priors" without prejudice? (research report)
There are two major routes to address linear inverse problems. Whereas regularization-based approaches build estimators as solutions of penalized regression...
