High-dimensional Ising model selection using l1-regularized logistic regression

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Date: 2010-04-19 13:02:07 Statistical theory Regression analysis Graphical models Markov random field Maximum likelihood Fisher information Ising model Logistic regression Linear regression Statistics Estimation theory Econometrics		High-dimensional Ising model selection using l1-regularized logistic regression Add to Reading List Source URL: www.eecs.berkeley.edu Download Document from Source Website File Size: 435,25 KB Share Document on Facebook

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