Compressible Distributions for High-Dimensional Statistics

DOI10.1109/TIT.2012.2197174zbMath1364.62184arXiv1102.1249OpenAlexW3100456593MaRDI QIDQ2989816

Volkan Cevher, Rémi Gribonval, Michael E. Davies

Publication date: 8 June 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1102.1249

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Applications of mathematical programming (90C90) Sampling theory in information and communication theory (94A20)

Related Items (9)

Wasserstein Loss for Image Synthesis and Restoration ⋮ On Bayesian estimation and proximity operators ⋮ Compressibility analysis of asymptotically mean stationary processes ⋮ Average best \(m\)-term approximation ⋮ On the continuity of characteristic functionals and sparse stochastic modeling ⋮ Wavelet Statistics of Sparse and Self-Similar Images ⋮ The stochastic properties of \(\ell^1\)-regularized spherical Gaussian fields ⋮ The BRS-inequality and its applications ⋮ Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty

This page was built for publication: Compressible Distributions for High-Dimensional Statistics