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All published works
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Title
Year
Authors
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Application of fused graphical lasso to statistical inference for multiple sparse precision matrices
2024
Qiuyan Zhang
Lingrui Li
Hu Yang
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Application of fused graphical lasso to statistical inference for multiple sparse precision matrices
2023
Qiuyan Zhang
Zhidong Bai
Lingrui Li
Hu Yang
Common Coauthors
Coauthor
Papers Together
Hu Yang
2
Qiuyan Zhang
2
Zhidong Bai
1
Commonly Cited References
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Title
Year
Authors
# of times referenced
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PDF
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On the distribution of the largest eigenvalue in principal components analysis
2001
Iain M. Johnstone
1
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Asymptotic normality and optimalities in estimation of large Gaussian graphical models
2015
Zhao Ren
Tingni Sun
Cun‐Hui Zhang
Harrison H. Zhou
1
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Model selection and estimation in the Gaussian graphical model
2007
Ming Yuan
Yi Lin
1
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PDF
Chat
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
2011
Pradeep Ravikumar
Martin J. Wainwright
Garvesh Raskutti
Bin Yu
1
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Sparse inverse covariance estimation with the graphical lasso
2007
Jerome H. Friedman
Trevor Hastie
R. Tibshirani
1
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NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
2009
Jianqing Fan
Yang Feng
Yichao Wu
1
+
PDF
Chat
The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
2013
Patrick Danaher
Pei Wang
Daniela Witten
1
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Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
2019
Ming Yu
Varun Gupta
Mladen Kolar
1
+
PDF
Chat
Honest confidence regions and optimality in high-dimensional precision matrix estimation
2016
Jana Janková
Sara van de Geer
1
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Regularized rank-based estimation of high-dimensional nonparanormal graphical models
2012
Lingzhou Xue
Hui Zou
1
+
PDF
Chat
Network exploration via the adaptive LASSO and SCAD penalties
2009
Jianqing Fan
Yang Feng
Yichao Wu
1
+
Convex Optimization
2004
Stephen Boyd
Lieven Vandenberghe
1