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Gaussian process
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31	Gaussian multiplicative chaos and KPZ duality Julien Barral∗ , Xiong Jin† R´ emi Rhodes‡ , and Vincent Vargas‡ Abstract: This paper is concerned with the construction of atomic Gaussian multiplicative chaos and Add to Reading List Source URL: personalpages.manchester.ac.uk Language: English - Date: 2013-09-19 07:58:33 Statistics Mathematical analysis Probability Stochastic processes Normal distribution Gaussian free field Gaussian process Covariance Gaussian measure
32	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain
33	A non-Gaussian Ornstein-Uhlenbeck process for electricity spot price modeling and derivatives pricing Thilo Meyer-Brandis Center of Mathematics for Applications / University of Oslo Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:46:56 Economy Money Finance Futures markets Mathematical finance Stochastic processes Electric power distribution Electricity market Futures contract Forward contract Derivative Spot contract
34	A POSSIBLE DEFINITION OF A STATIONARY TANGENT U. KEICH Abstract. This paper oﬀers a way to construct a locally optimal stationary approximation for a non-stationary Gaussian process. In cases where this construction le Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2000-10-26 15:20:02 Mathematics Geometry Differential geometry Space Surfaces Curves Multivariable calculus Curvature Differential geometry of curves FrenetSerret formulas Normal Sphere
35	Generating Implicit Surfaces from Lidar Data Mike Smith Ingmar Posner Paul Newman Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-08-09 09:50:19 Statistics Optics Learning Estimation theory Image segmentation Gaussian process 3D reconstruction Laser Mixture model Regression analysis Lidar 3D scanner
36	Modelling Gaussian Fields and Geostatistical Data Using Gaussian Markov Random Fields Outline 1. Introduction 2. Geostatistical Models and Gaussian Markov Random Fields Add to Reading List Source URL: evavivalt.com Language: English - Date: 2014-11-11 20:22:18 Geostatistics Statistics Data Probability theory Variogram Covariance function Stationary process Random field Time series Markov random field Ising model Covariance
37	. .  , 2003, . 24, . 6, 1237–1258 Performance evaluation of spatial interpolation methods in the presence of noise ¨ ZPINAR and L. O ¨ ZDAMAR† Add to Reading List Source URL: www.geog.ucsb.edu Language: English - Date: 2005-02-02 12:21:41 Interpolation Geostatistics Kriging Multivariate interpolation Variogram Radial basis function Semivariance Regression analysis Regression-Kriging Gaussian process
38	Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models Siyuan Liu, Yisong Yue, Ramayya Krishnan Carnegie Mellon University {siyuan,yisongyue,rk2x}@cmu.edu Add to Reading List Source URL: www.utc.ices.cmu.edu Language: English - Date: 2014-10-10 12:11:58 Algebra of random variables Covariance and correlation Routing Covariance Shortest path problem Multivariate statistics Kalman filter
39	Automatically Grading Learners’ English Using a Gaussian Process Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales ALTA Institute / Department of Engineering, University of Cambridge, United Kingdom {rcv25,kmk1001,m Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2015-06-24 05:28:12 Geostatistics Covariance and correlation Stochastic processes Interpolation Gaussian process Normal distribution Covariance function Kernel method Speech recognition Radial basis function Correlation and dependence Variance
40	Program Spatial-Temporal Symposium v042214.indd Add to Reading List Source URL: www.stat.ucdavis.edu Language: English - Date: 2014-07-29 13:41:16 Geostatistics Linear filters Bayesian statistics Estimation theory Operations research Gaussian process Ensemble Kalman filter Kriging Gravitational lens Statistics Uncertainty quantification Spatial dependence

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