![Probability theory / Data analysis / Maximum likelihood / Multivariate normal distribution / Covariance matrix / Normal distribution / Consistent estimator / Kullback–Leibler divergence / Random matrix / Statistics / Statistical theory / Estimation theory Probability theory / Data analysis / Maximum likelihood / Multivariate normal distribution / Covariance matrix / Normal distribution / Consistent estimator / Kullback–Leibler divergence / Random matrix / Statistics / Statistical theory / Estimation theory](https://www.pdfsearch.io/img/6e456bafed2bcc90aa4d0caea6d3e3b3.jpg) Date: 2011-02-12 09:26:43Probability theory Data analysis Maximum likelihood Multivariate normal distribution Covariance matrix Normal distribution Consistent estimator Kullback–Leibler divergence Random matrix Statistics Statistical theory Estimation theory | | ISIT 2010, Austin, Texas, U.S.A., June[removed], 2010 Information-theoretic bounds on model selection for Gaussian Markov random fields Wei Wang , Martin J. Wainwright†, , and Kannan Ramchandran Department of ElectAdd to Reading ListSource URL: www.eecs.berkeley.eduDownload Document from Source Website File Size: 147,52 KBShare Document on Facebook
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