High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
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Publication:5405191
zbMath1433.68322arXiv1107.1270MaRDI QIDQ5405191
Alan S. Willsky, Vincent Y. F. Tan, Animashree Anandkumar, Furong Huang
Publication date: 1 April 2014
Full work available at URL: https://arxiv.org/abs/1107.1270
local-separation propertyhigh-dimensional learningGaussian graphical model selectionwalk-summabilitynecessary conditions for model selection
Ridge regression; shrinkage estimators (Lasso) (62J07) Measures of association (correlation, canonical correlation, etc.) (62H20) Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)
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