Estimating sparse precision matrices from data with missing values

Mladen Kolar, Eric P. Xing

Type: Article

Publication Date: 2012-06-26

Citations: 19

DOI: https://doi.org/10.1184/r1/6475607.v1

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Locations

International Conference on Machine Learning - View

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+	Robust estimation of tree structured Gaussian Graphical Model	2019	Ashish Katiyar Jessica Hoffmann Constantine Caramanis
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Works Cited by This (20)

Action	Title	Year	Authors
+	Estimation of Parameters in the Multivariate Normal Distribution with Missing Observations	1968	R. R. Hocking W. B. Smith
+ PDF Chat	A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation	2011	Tommaso Cai Weidong Liu Xi Luo
+	Missing Observations in Multivariate Statistics I. Review of the Literature	1966	Abdelmonem A. Afifi Robert M. Elashoff
+	Estimation of Regression Coefficients When Some Regressors are not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin
+	Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing	1957	T. W. Anderson
+ PDF Chat	Missing values: sparse inverse covariance estimation and an extension to sparse regression	2010	Nicolas Städler Peter Bühlmann
+	A Test of Missing Completely at Random for Multivariate Data with Missing Values	1988	Roderick J. A. Little
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin
+ PDF Chat	High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence	2011	Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu