High-dimensional semiparametric Gaussian copula graphical models
type: Item
instance of: scholarly article
title: High-dimensional semiparametric Gaussian copula graphical models
zbMATH Open document ID: 1297.62073
DOI: 10.1214/12-AOS1037
author: Han Liu
author: Fang Han
author: Ming Yuan
author: John Lafferty
author: Larry Wasserman
published in: The Annals of Statistics
publication date: 2013-03-07T00:00:00Z
full work available at URL: https://arxiv.org/abs/1202.2169
full work available at URL: https://projecteuclid.org/euclid.aos/1358951383
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62H20
zbMATH DE Number: 6142921
zbMATH Keywords: high-dimensional statistics
zbMATH Keywords: undirected graphical models
zbMATH Keywords: Gaussian copula
zbMATH Keywords: nonparanormal graphical models
zbMATH Keywords: robust statistics
zbMATH Keywords: minimax optimality
zbMATH Keywords: biological regulatory networks
describes a project that uses: CRAN
describes a project that uses: glasso
describes a project that uses: huge
describes a project that uses: R
MaRDI profile type: Publication
arXiv ID: 1202.2169
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OpenAlex ID: W2150002853
description: scientific article