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Cholesky decomposition
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#	Item
81	CHAPTER 6 Numerical Issues Involved in Inverting Hessian Matrices Jeff Gill and Gary King Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:37:34 Bayesian statistics Statistical theory Regression analysis Generalized linear model Point estimation Prior probability Cholesky decomposition Maximum likelihood Normal distribution Statistics Estimation theory Statistical inference
82	Square Root SAM Simultaneous Localization and Mapping via Square Root Information Smoothing Frank Dellaert and Michael Kaess Center for Robotics and Intelligent Machines, College of Computing Georgia Institute of Technol Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-03-26 23:43:36 Statistics Kalman filter Simultaneous localization and mapping Matrix Cholesky decomposition Graphical model Directed acyclic graph Tree decomposition Graph theory Robot control Mathematics
83	Penalized least squares versus generalized least squares representations of linear mixed models Douglas Bates Department of Statistics University of Wisconsin – Madison June 20, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-19 13:51:41 Matrices Statistical theory Numerical linear algebra Maximum likelihood Multivariate normal distribution Covariance matrix Cholesky decomposition Generalized least squares Fisher information Statistics Estimation theory Regression analysis
84	T:uesINGERCEge6009tents!90_4_LE.dvi Add to Reading List Source URL: www.cs.mcgill.ca Language: English - Date: 2006-10-08 23:34:30 Operator theory Numerical linear algebra XTR Cholesky decomposition Combinatorics Integer sequences Kalman filter Partial fractions in complex analysis Mathematics Mathematical analysis Algebra
85	Predictive low-rank decomposition for kernel methods Francis R. Bach Centre de Morphologie Math´ematique, Ecole des Mines de Paris 35 rue Saint-Honor´e, 77300 Fontainebleau, France Michael I. Jordan Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:49 Numerical linear algebra Matrix theory Singular value decomposition Matrices Cholesky decomposition QR decomposition Matrix decomposition Incomplete Cholesky factorization Eigendecomposition of a matrix Algebra Linear algebra Mathematics
86	Microsoft Word - The PM10-2.5 Model detail.doc Add to Reading List Source URL: www.epa.gov Language: English - Date: 2005-08-23 15:28:57 Numerical linear algebra Cholesky decomposition Operator theory Variance Normal distribution Matrix Mathcad Statistics Mathematics Mathematical analysis
87	Matrix Updates for Perceptron Training of Continuous Density Hidden Markov Models Chih-Chieh Cheng Department of Computer Science and Engineering, University of California, San Diego Fei Sha Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:01 Artificial intelligence Neural networks Perceptron Expectation–maximization algorithm Hidden Markov model Speech recognition Cholesky decomposition Part-of-speech tagging Statistical classification Statistics Machine learning Markov models
88	A Cautionary Note on Generalized Linear Models for Covariance of Unbalanced Longitudinal Data Jianhua Z. Huanga , Min Chenb , Mehdi Maadooliata , Mohsen Pourahmadia a Department of Statistics, Texas A&M University. Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-09-09 09:06:04 Numerical linear algebra Least squares Estimation theory Covariance matrix Cholesky decomposition Normal distribution Multivariate normal distribution Variance Generalized least squares Statistics Regression analysis Data analysis
89	A Hybrid Algorithm for Convex Semidefinite Optimization S¨ oren Laue Friedrich-Schiller-University Jena, Germany Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:44 Operations research Convex optimization Linear programming Convex analysis Semidefinite programming Positive-definite matrix Frank–Wolfe algorithm Nonlinear dimensionality reduction Cholesky decomposition Mathematical optimization Mathematics Algebra
90	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