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Covariance matrix
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211	Ocean Dynamics[removed]: 561–569 DOI[removed]s10236[removed]Jeﬀrey D. Kepert On ensemble representation of the observation-error covariance Add to Reading List Source URL: cawcr.gov.au Language: English - Date: 2009-12-02 21:50:20 Matrix theory Estimation theory Linear filters Control theory Ensemble Kalman filter Kalman filter Data assimilation Multivariate normal distribution Covariance Algebra Mathematics Linear algebra
212	Multi-Task Learning of System Dynamics with Maximum Information Gain Jose F. Zubizarreta-Rodriguez and Fabio Ramos Australian Centre for Field Robotics, School of Information Technologies The University of Sydney, Austra Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Exponentials Gaussian function Supervised learning Normal distribution Kriging Regression analysis Gaussian process Covariance matrix Control theory Statistics Data analysis Interpolation
213	C ONTRIBUTED R ESEARCH A RTICLES 27 Prinsimp by Jonathan Zhang, Nancy Heckman, Davor Cubranic, Joel G. Kingsolver, Travis Gaydos and J.S. Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2015-01-26 12:20:05 Abstract algebra Data analysis Singular value decomposition Covariance and correlation Principal component analysis Eigenvalues and eigenvectors Variance Covariance matrix Euclidean vector Algebra Mathematics Linear algebra
214	This is page 365 Printer: Opaque this Chapter 15 Cluster-Weighted Modeling: Probabilistic Time Series Prediction, Characterization Add to Reading List Source URL: cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Estimation theory Regression analysis Statistical theory Cluster-weighted modeling Expectation–maximization algorithm Gaussian function Normal distribution Covariance matrix Generalized linear model Statistics Multivariate statistics Data analysis
215	Continuous Occupancy Mapping with Integral Kernels Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:41 Stochastic processes Exponentials Gaussian process Occupancy grid mapping Normal distribution Variance Kriging Covariance matrix Gaussian quadrature Statistics Data analysis Gaussian function
216	Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling Shrihari Vasudevan, Fabio Ramos, Eric Nettleton and Hugh Durrant-Whyte Australian Centre for Field Robotics, University of Sydne Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Covariance and correlation Gaussian process Normal distribution Covariance function Data fusion Kriging Covariance matrix Artificial neural network Gaussian function Statistics Data analysis Geostatistics
217	Ocean Dynamics[removed]: 561–569 DOI[removed]s10236[removed]Jeﬀrey D. Kepert On ensemble representation of the observation-error covariance Add to Reading List Source URL: www.cawcr.gov.au Language: English - Date: 2009-12-02 21:50:20 Matrix theory Estimation theory Linear filters Control theory Ensemble Kalman filter Kalman filter Data assimilation Multivariate normal distribution Covariance Algebra Mathematics Linear algebra
218	IDENTITY THEFT/ACCOUNT TAKEOVER FRAUD INFORMATION FOR PERSONAL BANKING CLIENTS Identity Theft/Account Takeover - How does this happen? This type of crime occurs when a thief obtains personal and banking information and i Add to Reading List Source URL: www.firstmidwest.com Language: English - Date: 2013-09-27 17:57:10 Algebra of random variables Beamforming Sonar Covariance matrix Covariance Statistics Covariance and correlation Signal processing
219	Tomographic Focusing by Combining Time-Domain Back-Projection and Multi-Looking Based Focusing Techniques Othmar Frey, Erich Meier Remote Sensing Laboratories, University of Zurich, Switzerland E-mail: [removed] Add to Reading List Source URL: www.geo.uzh.ch Language: English - Date: 2008-12-01 11:21:06 Algebra of random variables Beamforming Sonar Covariance matrix Covariance Statistics Covariance and correlation Signal processing
220	Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison Jonah E. Bernhard,1 Peter W. Marcy,2 Christopher E. Coleman-Smith,1 Snehalata Huzurbazar,3 Robert L. Wolpert,4 and Steffen A. Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-02 20:38:09 Normal distribution Covariance matrix Multivariate normal distribution Mathematical model Parameter Standard deviation Random variable Statistics Data analysis Summary statistics

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