Hierarchical Bayes, maximum a posteriori estimators, and minimax concave penalized likelihood estimation
type: Item
instance of: scholarly article
title: Hierarchical Bayes, maximum a posteriori estimators, and minimax concave penalized likelihood estimation
zbMATH Open document ID: 1337.62172
DOI: 10.1214/13-EJS795
author: Robert L. Strawderman
author: Martin T. Wells
author: Elizabeth D. Schifano
published in: Electronic Journal of Statistics
publication date: 2013-05-29T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1366031047
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62C20
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6167961
zbMATH Keywords: convex optimization
zbMATH Keywords: Lasso penalty
zbMATH Keywords: Moreau regularization
zbMATH Keywords: minimax concave penalty
zbMATH Keywords: sparsity
zbMATH Keywords: smoothly clipped absolute deviation penalty
zbMATH Keywords: thresholding
describes a project that uses: EBayesThresh
describes a project that uses: S+WAVELETS
describes a project that uses: sparsenet
MaRDI profile type: Publication
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OpenAlex ID: W2004810039
description: scientific article; zbMATH DE number 6167961