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Gaussian random field
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11	Exploiting structure when sampling from a Gaussian Markov random field Three unusual methods for GMRF calculations Daniel Simpson with Ian Turner and Tony Pettitt Institutt for matematiske fag 24 February, 2010 Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2010-03-03 15:18:02
12	Efficient Computations for Gaussian Markov Random Field Models with two Applications in Spatial Epidemiology H˚avard Rue and Turid Follestad Department of Mathematical Sciences Norwegian University of Science and Techno Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2005-04-06 09:22:10
13	Efficient Computations for Gaussian Markov Random Field Models with two Applications in Spatial Epidemiology H˚avard Rue and Turid Follestad Department of Mathematical Sciences Norwegian University of Science and Techno Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2005-04-06 09:22:10
14	Gaussian Markov random fields: Efficient modelling of spatially dependent data Add to Reading List Source URL: www.maths.lth.se Language: English - Date: 2011-05-03 06:23:10 Kriging Multivariate interpolation Estimation theory Covariance matrix Random field Markov random field Gaussian process Maximum likelihood Statistics Geostatistics Interpolation
15	Implementing Approximate inference for Latent Gaussian Markov Random Field Models: the INLA package for R. Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-30 06:03:13 Irish National Liberation Army Irregular military Military organization
16	NATIONAL MATHEMATICS INITIATIVE (NMI) 9th Thematic Programme (August 2012 – PROBABILITY: THEORY AND APPLICATIONS Add to Reading List Source URL: math.iisc.ernet.in Language: English - Date: 2013-01-07 23:14:00 Randomness Random matrix Random graph Asymptotic analysis Point process Bangalore Gaussian random field Statistics Stochastic processes Markov chain
17	3136 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 11, NOVEMBER 2004 Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:38:08 Probability theory Belief propagation Coding theory Markov models Markov random field Planar graph Matrix Tree decomposition Kalman filter Graph theory Mathematics Graphical models
18	Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-03-23 05:55:28 Monte Carlo methods Geostatistics Computational statistics Spatial data analysis Markov chain Monte Carlo Markov chain Normal distribution Markov random field Covariance function Statistics Probability and statistics Markov models
19	Space-time modelling: Gaussian Markov Random Fields Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:54:35 Probability and statistics Graphical models Probability Markov processes Networks Markov random field Markov property Random field Statistics Probability theory Markov models
20	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