A constrained \(\ell1\) minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models

DOI10.1007/s10994-017-5635-7zbMath1460.62092arXiv1605.03468OpenAlexW2964298376WikidataQ59611202 ScholiaQ59611202MaRDI QIDQ1698844

Beilun Wang, Ritambhara Singh, Yanjun Qi

Publication date: 16 February 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1605.03468

zbMATH Keywords

computational biologygraphical modelmulti-task learning

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Related Items

SIMULE

Uses Software

• glasso
• FASTCLIME
• DAVID
• BioGRID
• IntAct
• GitHub

Cites Work

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