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Covariance function
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261	Summary Working Assume = X t X t −1 + α t E (α i ) = 0 Add to Reading List Source URL: teach.business.uq.edu.au Language: English - Date: 2015-02-05 22:39:29 Differential geometry Mathematical analysis Ordinary differential equations Mathematics Ordinal arithmetic Bessel function Algebra of random variables Covariance Covariance and correlation
262	Multi-Kernel Gaussian Processes Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:41 Data analysis Spatial data analysis Covariance function Signal processing Covariance Gaussian process Kriging Cross-covariance Variance Statistics Covariance and correlation Geostatistics
263	Learning Non-Stationary Space-Time Models for Environmental Monitoring Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:38 Spatial data analysis Cluster analysis Machine learning Covariance function Kriging Mixture model Gaussian process Covariance Statistics Covariance and correlation Geostatistics
264	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
265	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
266	THE EFFECT OF ALTIMETER SAMPLING PATTERNS ON ESTIMATES OF WAVE MODEL ERROR CORRELATIONS D. J. M. Greenslade Bureau of Meteorology Research Centre, Melbourne, Australia I. R. Young Add to Reading List Source URL: www.waveworkshop.org Language: English - Date: 2003-01-09 10:02:00 Science Correlation and dependence Correlation function Intelligence quotient Covariance and correlation Statistics Information
267	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Aug 30, 1999 Lecture #3 (Maximum likelihood framework) DRAFT Notes by Joshua Levy Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:52:15 Normal distribution Expectation–maximization algorithm Estimator Likelihood function M-estimator Estimation of covariance matrices Statistics Estimation theory Maximum likelihood
268	On the Whittle-Matérn correlation family Peter Guttorp Tilmann Gneiting NRCSE Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2005-07-11 16:48:25 Signal processing Spatial data analysis Integral transforms Stationary process Covariance function Hankel transform Kriging Correlation function Correlation and dependence Statistics Covariance and correlation Geostatistics
269	g03 – Multivariate Methods g03acc NAG Library Function Document nag_mv_canon_var (g03acc) Add to Reading List Source URL: www.nag.com Language: English - Date: 2014-01-21 11:26:01 Covariance and correlation Printf format string Scanf format string C Standard Library Multivariate statistics Canonical correlation
270	An. S ¸ t. Univ. Ovidius Constant ¸a Vol. 10(2), 2002, 1–8 Add to Reading List Source URL: www.emis.de Language: English - Date: 2008-10-13 03:23:37 Noise Autocorrelation Regression analysis Signal processing Partial autocorrelation function Moving-average model Autoregressive integrated moving average White noise Relaxation Statistics Time series analysis Covariance and correlation

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