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Multivariate random variable
Results: 118

#	Item
31	Combining Predictive Distributions Tilmann Gneiting, University of Heidelberg Heidelberg, Germany Roopesh Ranjan, GE Research, Bangalore, India arXiv:1106.1638v1 [math.ST] 8 Jun 2011 Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-06-08 20:13:51 Normal distribution Cumulative distribution function Random variable Conditional expectation Prediction interval Independence Multivariate normal distribution Variance Probability space Statistics Probability theory Probability and statistics
32	[Bhiksha Raj and Richard M. Stern] [Improving recognition accuracy in noise by using partial spectrographic ] Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-12 13:23:56 Noise Algebra of random variables Covariance and correlation Time series analysis Signal processing White noise Spectral density Multivariate random variable Covariance matrix Statistics Algebra Mathematics
33	A multivariate generalization of Costa’s entropy power inequality Miquel Payar´o and Daniel P. Palomar Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2008-04-28 23:13:38 Information theory Matrices Algebra of random variables Randomness Covariance and correlation Multivariate random variable Matrix Positive-definite matrix Hessian matrix Statistics Algebra Mathematics
34	Random Features for Large-Scale Kernel Machines Ali Rahimi and Ben Recht Abstract To accelerate the training of kernel machines, we propose to map the input data Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2009-09-01 15:30:02 Algebra of random variables Operator theory Multivariate statistics Fourier analysis Linear algebra Multivariate random variable Positive-definite kernel Kernel trick Gaussian function Mathematical analysis Mathematics Statistics
35	EN 257: Applied Stochastic Processes Problem Set 3 Douglas Lanman [removed] 2 March 2007 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2007-03-01 21:05:56 Algebra of random variables Covariance and correlation Multivariate normal distribution Normal distribution Multivariate random variable Covariance Eigenvalues and eigenvectors Whitening transformation Matrix Statistics Algebra Mathematics
36	On optimal precoding in linear vector Gaussian channels with arbitrary input distribution Miquel Payar´o Daniel P. Palomar Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2009-06-12 05:49:49 Matrix theory Multivariate statistics Data analysis Singular value decomposition Covariance matrix Multivariate random variable Matrix Eigenvalues and eigenvectors Channel state information Algebra Mathematics Linear algebra
37	Fully Bayesian Computing Jouni Kerman Andrew Gelman Department of Statistics Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-11-24 20:25:49 Data analysis Algebra of random variables Econometrics Multivariate normal distribution Multivariate random variable Linear regression Normal distribution Random variable Variance Statistics Probability theory Regression analysis
38	Geometric properties of heavy-tailed random fields Lettisia George Supervisor: Andriy Olenko La Trobe University February 2014 Add to Reading List Source URL: vrs.amsi.org.au Language: English - Date: 2014-09-04 22:39:20 Multivariate normal distribution Kolmogorov–Smirnov test Covariance Random variable Gaussian random field Central limit theorem Maximum likelihood Statistics Covariance and correlation Normal distribution
39	The Entity-Property-Relationship Approach to Statistics: An Introduction for Students Donald B. Macnaughton* This paper describes the “entity-property-relationship” approach to science and statistics at a Add to Reading List Source URL: www.matstat.com Language: English - Date: 1997-11-15 15:28:48 Variables Design of experiments Econometrics Multivariate statistics Instrumental variable Causality Random variable Dependent and independent variables Plot Statistics Mathematics Regression analysis
40	Fast algorithms for Gaussian processes Michael O’Neil New York University, USA Email: [removed] Gaussian processes are one class of stochastic process that provides a straightforward generalization of random v Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2014-10-15 04:26:59 Non-parametric statistics Normal distribution Random variable Stochastic process Multivariate normal distribution Kernel Statistics Gaussian process Probability theory

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