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Estimation of covariance matrices
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#	Item
41	Package ‘ezsim’ July 2, 2014 Type Package Title provide an easy to use framework to conduct simulation Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:48:19 Estimator M-estimator Adaptive estimator Estimation of covariance matrices Statistics Estimation theory Normal distribution
42	Autonomous Geometric Precision Error Estimation in Low-Level Computer Vision Tasks Andr´ es Corrada-Emmanuel [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-22 03:19:26 Regression analysis Data analysis Matrices Covariance matrix Propagation of uncertainty Covariance Accuracy and precision Precision Digital elevation model Statistics Covariance and correlation Algebra of random variables
43	Estimation of Large Covariance Matrices of Longitudinal Data with Basis Function Approximations Jianhua Z. Huang, Linxu Liu and Naiping Liu ∗ Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2006-07-10 10:26:41 Multivariate normal distribution Generalized least squares Maximum likelihood Cholesky decomposition Normal distribution Covariance Smoothing spline Linear regression B-spline Statistics Regression analysis Estimation theory
44	Estimating Sparse Precision Matrices from Data with Missing Values Mladen Kolar [removed] Eric P. Xing [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:48 Covariance and correlation Summary statistics Matrices Estimation of covariance matrices Covariance matrix Linear regression Normal distribution Multivariate normal distribution Maximum likelihood Statistics Data analysis Estimation theory
45	1 Covariance selection and estimation via penalised normal likelihood By JIANHUA Z. HUANG Department of Statistics, Texas A & M University, Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-28 19:38:35 Data analysis Algebra of random variables Probability theory Multivariate normal distribution Estimation of covariance matrices Normal distribution Tikhonov regularization Covariance Least squares Statistics Estimation theory Covariance and correlation
46	Journal of Multivariate Analysis 78, 1136[removed]doi:[removed]jmva[removed], available online at http:www.idealibrary.com on Highly Robust Estimation of Dispersion Matrices Yanyuan Ma and Marc G. Genton Massachusetts Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-05-28 10:46:20 Covariance and correlation Data analysis Summary statistics Maximum likelihood Robust statistics Estimation of covariance matrices M-estimator Estimator Multivariate normal distribution Statistics Estimation theory Statistical theory
47	C ONTRIBUTED R ESEARCH A RTICLES 129 On Sampling from the Multivariate t Distribution Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-01-10 18:20:02 Data analysis Multivariate normal distribution Multivariate random variable Covariance matrix Variance Elliptical distribution Chi-squared distribution Errors and residuals in statistics Estimation of covariance matrices Statistics Normal distribution Probability theory
48	JOURNAL OF IEEE TRANS. ACOUST., SPEECH, SIGNAL PROCESSING, JULY[removed]Minimum Phone Error Training of Precision Matrix Models Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-10-10 11:13:25 Matrices Markov models Multivariate statistics Statistical classification Maximum likelihood Speech recognition Covariance matrix Matrix Linear discriminant analysis Statistics Algebra Estimation theory
49	Covariance matrices with low-dimensional structures Estimation of Covariance Matrices with Low-Dimensional Structures Luo Xiao Johns Hopkins University Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:36:35 Summary statistics Data analysis Covariance matrix Estimation of covariance matrices Covariance Multivariate normal distribution Matrix Estimation theory Sample mean and sample covariance Statistics Covariance and correlation Matrices
50	AWARDS & ANNOUNCEMENTS Dr. Han Xiao Second Order Inference for Nonstationary Time Series The proposed research is on second order inferences for causal nonstationary processes. While a causal stationary process can be Add to Reading List Source URL: statistics.rutgers.edu Language: English - Date: 2013-06-04 15:06:04 Covariance Estimation of covariance matrices Autocovariance Variance Matrix Statistics Covariance and correlation Covariance function

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