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Covariance matrix
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231	Quasi-Monte Carlo Methods in Financial Engineering: An Equivalence Principle and Dimension Reduction Xiaoqun Wang1,2 , and Ian H. Sloan2,3 1 Department of Mathematical Sciences, Tsinghua University, Beijing[removed], Chin Add to Reading List Source URL: www.maths.unsw.edu.au Language: English - Date: 2012-08-16 02:37:30 Stochastic processes Data analysis Singular value decomposition Matrix theory Covariance and correlation Principal component analysis Brownian motion Risk-neutral measure Covariance matrix Statistics Algebra Linear algebra
232	Constructing Informative Priors using Transfer Learning Rajat Raina Andrew Y. Ng Daphne Koller Computer Science Department, Stanford University, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2006-05-19 17:48:26 Covariance and correlation Linear filters Regression analysis Kalman filter Multivariate normal distribution Linear regression Covariance matrix Covariance and contravariance Covariance Statistics Data analysis Estimation theory
233	48190_1_art_file_1_1043849843.p.PDF Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2003-02-18 16:42:27 Variance Covariance matrix Correlation and dependence White noise Covariance Autocorrelation Normal distribution Statistics Covariance and correlation Data analysis
234	Genetic Epidemiology 8:[removed]Efficient Computation of Patterned Covariance Matrix Mixed Models in Quantitative Segregation Analysis Nicholas Schork Add to Reading List Source URL: deepblue.lib.umich.edu Language: English - Date: 2006-05-18 06:58:52 Abstract algebra Linear algebra Estimation theory Data analysis Covariance and correlation Covariance matrix Mixed model Euclidean vector Multivariate normal distribution Statistics Algebra Mathematics
235	ISIT 2003, Yokohama, Japan, June 29 -July 4,2003 Multi- Antenna Capacity in Interference-Limited Low-Power Conditions Angel Lozano Bell Labs (Lucent Technologies) Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2005-11-17 14:36:13 Information theory Radio resource management Noise Antenna Johnson–Nyquist noise Spectral efficiency Random matrix Covariance Electronics Electromagnetism Telecommunications engineering
236	Chapter 1 Portfolio Theory with Matrix Algebra Updated: August 7, 2013 When working with large portfolios, the algebra of representing portfolio expected returns and variances becomes cumbersome. The use of matrix (linea Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2013-08-07 17:08:06 Algebra of random variables Covariance and correlation Summary statistics Multivariate random variable Variance Covariance matrix Covariance Standard deviation Modern portfolio theory Statistics Data analysis Probability theory
237	New results on a Cn2 profiler for GeMS A. Cortesa, B. Neichelb, A. Guesalagaa , J. Osborna, F. Rigautc, D. Guzmana Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, Santiago, Chile; bGemini Observatory, Co Add to Reading List Source URL: www.gemini.edu Language: English - Date: 2012-08-20 18:54:27 Optics Covariance and correlation Telescopes Adaptive optics Fried parameter Astronomical seeing Covariance matrix European Southern Observatory Variance Observational astronomy Statistics Data analysis
238	High-dimensional covariance estimation by minimizing 1-penalized log-determinant divergence Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-05-03 19:18:22 Data analysis Matrices Multivariate normal distribution Normal distribution Fisher information Maximum likelihood Covariance matrix Covariance Matrix Statistics Estimation theory Covariance and correlation
239	B IG & Q UIC: Sparse Inverse Covariance Estimation for a Million Variables Cho-Jui Hsieh, M´aty´as A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar Department of Computer Science University of Texas at Austin {cjhsieh Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-10 17:25:28 Numerical linear algebra Matrix theory Singular value decomposition Data analysis Cholesky decomposition Operator theory Eigenvalues and eigenvectors Matrix Conjugate gradient method Algebra Mathematics Linear algebra
240	g05 – Random Number Generators g05lyc NAG Library Function Document nag_rgsn_matrix_multi_normal (g05lyc) Add to Reading List Source URL: nag.com Language: English - Date: 2012-01-26 06:18:32 Covariance and correlation Abstract algebra Linear algebra Data analysis Algebra of random variables Covariance matrix Covariance Multivariate normal distribution Matrix Algebra Statistics Mathematics

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