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Kernel density estimation
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#	Item
51	Modelling vertical fish migration using mixed Ornstein-Uhlenbeck processes Erik Natvig∗, Sam Subbey† Abstract Based on vertical movement data derived from electronic storage tags (DST) attached to fish, we construct Add to Reading List Source URL: www.nik.no Language: English - Date: 2012-02-29 03:37:58 Markov processes Markov chain Ornstein–Uhlenbeck process Kernel density estimation Stochastic matrix Simulation Hidden Markov model Statistics Markov models Stochastic processes
52	Texture Synthesis via a Non-parametric Markov Random Field Rupert Paget and Dennis Longstaff Cooperative Research Centre for Sensor Signal and Information Processing Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 17:54:27 Graphical models Markov random field Texture mapping Kernel density estimation Segmentation Vehicle Identification Number Texture Random field Statistics Non-parametric statistics Texture synthesis
53	Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs Gavin Taylor Department of Computer Science United States Naval Academy Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2012-06-25 15:53:46 Gaussian function Signal processing Image processing Nonparametric regression Least squares Reinforcement learning Kernel density estimation Smoothing K-nearest neighbor algorithm Statistics Regression analysis Non-parametric statistics
54	Political Analysis Advance Access published October 10, 2013 Political Analysis[removed]pp. 1–26 doi:[removed]pan/mpt019 Kernel Regularized Least Squares: Reducing Misspecification Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2013-10-15 15:34:27 Non-parametric statistics Geostatistics Actuarial science Kernel density estimation Kernel regression Gaussian function Kriging Kernel methods Reproducing kernel Hilbert space Statistics Regression analysis Econometrics
55	Texture Synthesis via a Non-parametric Markov Random Field Rupert Paget and Dennis Longstaff Department of Electrical and Computer Engineering, University of Queensland, and the Cooperative Research Centre for Sensor, Si Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 17:55:14 Texture synthesis Probability theory Segmentation Random field Markov random field Texture mapping Kernel density estimation Density estimation Texture Statistics Non-parametric statistics 3D computer graphics
56	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 FishTracker: A GIS toolbox for kernel density estimation of animal home ranges that accounts Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:09:34 Spatial analysis Geographic information system Home range Telemetry Esri Geospatial analysis Spatial ecology ArcGIS Wild fisheries Cartography Statistics Science
57	Microsoft Word - UNCTAD ITCD TAB49_EDITED_FORMATTED.doc Add to Reading List Source URL: unctad.org Language: English - Date: 2012-02-14 06:41:33 Econometrics Regression analysis Estimation theory Density estimation Estimator Gross domestic product Kernel density estimation Nonparametric regression Statistics Non-parametric statistics Statistical inference
58	Smoothed Particle Hydrodynamics and Magnetohydrodynamics Daniel J. Price Centre for Stellar and Planetary Astrophysics & School of Mathematical Sciences, Monash University, Melbourne Vic. 3800, Australia Abstract Add to Reading List Source URL: users.monash.edu.au Language: English - Date: 2010-12-08 17:21:11 Dynamical systems Continuum mechanics Smoothed-particle hydrodynamics Non-parametric statistics Kernel density estimation Lagrangian Hamiltonian mechanics Momentum Finite pointset method Physics Computational fluid dynamics Fluid dynamics
59	Applied Economics, 2011, 43, 1087–1098 Drifting together or falling apart? The empirics of regional economic growth in post-unification Germany Roberta Colavecchioa, Declan Curranb and Michael Funkea,* Add to Reading List Source URL: www.uni-hamburg.de Language: English - Date: 2013-02-27 05:07:50 Gross domestic product Real gross domestic product Kernel density estimation Per capita income Macroeconomics National accounts Statistics Non-parametric statistics
60	Project Information Title: 95% Kernel Utilization Distributions Geographic Description: Palmyra Atoll, Northern Line Islands, USA Bounding Coordinates (please specify the coordinate system): GCS_WGS_1984 West Bounding Co Add to Reading List Source URL: reefstomorrowinitiative.org Language: English - Date: 2015-02-25 16:53:38 Non-parametric statistics University of California Santa Barbara Geographic information system Kernel density estimation KDE Home range Global Positioning System Linux kernel Kernel Technology Software Science

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