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We consider tests of significance in the setting of the graphical lasso for inverse covariance matrix estimation.
[author] Baricz, ArpadA. (2008). Mills’ ratio: Monotonicity patterns and functional inequalities. Journal of Mathematical Analysis and Applications 340 1362 - 1370. 10.1016/j.jmaa.2007.09.063 \endbibitem
2007
Earlier work this paper cites.
[author] Friedman, JeromeJ., Hastie, TrevorT. and Tibshirani, RobR. (2008). glasso: Graphical lasso-estimation of Gaussian graphical models. R package version 1. \endbibitem
2008
Earlier work this paper cites.
[author] Ravikumar, PradeepP., Raskutti, GarveshG., Wainwright, MartinM. and Yu, BinB. (2008). Model selection in Gaussian graphical models: High-dimensional consistency of l1-regularized MLE. Advances in Neural Information Processing Systems (NIPS) 21. \endbibitem
2008
Cited alongside, same era.
[author] Cai, TonyT. and Jiang, TiefengT. (2011). Phase transition in limiting distributions of coherence of high-dimensional random matrices. Journal of Multivariate Analysis. \endbibitem
2011
Cited alongside, same era.
[author] Mazumder, RahulR. and Hastie, TrevorT. (2012a). Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso. J. Mach. Learn. Res. 13 781–794. \endbibitem
Cited in the paper.
[author] Mazumder, RahulR. and Hastie, TrevorT. (2012b). The graphical lasso: New insights and alternatives. Electronic Journal of Statistics 6 2125–2149. \endbibitem
Cited in the paper.
[author] Witten, Daniela MD. M., Friedman, Jerome HJ. H. and Simon, NoahN. (2011). New insights and faster computations for the graphical lasso. Journal of Computational and Graphical Statistics 20 892–900. \endbibitem
2011
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2013
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