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Kernel density estimation
Results: 192

#	Item
121	Dot Plots Leland Wilkinson SPSS Inc., 233 South Wacker, Chicago, IL[removed]Department of Statistics, Northwestern University, Evanston, IL[removed]email: [removed] KEY WORDS: dotplot, histogram, kernel density estimat Add to Reading List Source URL: www.cs.uic.edu Language: English - Date: 2010-02-27 00:59:50 Histogram Kernel density estimation Plot Box plot Density estimation Mode Multivariate kernel density estimation Statistics Non-parametric statistics Dot plot
122	Less is More: Two- and Three-Dimensional Graphics for Data Display Leland Wilkinson SYSTAT, Inc. and Northwestern University 1800 Sherman Ave. Evanston, IL[removed]Revised version published in Behavior Research Methods, In Add to Reading List Source URL: www.cs.uic.edu Language: English - Date: 2010-02-27 00:59:50 Plot Histogram Kernel density estimation Dot plot Stemplot Box plot Chart Density estimation Local regression Statistics Data analysis Non-parametric statistics
123	Accepted to the 11th IEEE International Conference on Computer Vision (ICCV[removed]Winner of the David Marr Prize for Best Paper Add to Reading List Source URL: midag.cs.unc.edu Language: English - Date: 2007-10-19 12:51:24 Econometrics Estimation theory Statistical theory Kernel regression Nonparametric regression Kernel density estimation Errors and residuals in statistics Diffeomorphism Kernel smoother Statistics Non-parametric statistics Regression analysis
124	A COMPARISON OF HOME RANGE MAPPING TECHNIQUES FOR GOLDEN EAGLES IN WASHINGTON ANDREW A. DUFF AND JAMES W. WATSON, Washington Department of Fish and Wildlife, 600 Capital Way N., Olympia WA 98501; [removed] I Add to Reading List Source URL: wdfw.wa.gov Language: English - Date: 2013-03-14 18:26:31 Non-parametric statistics Kernel density estimation Application programming interfaces KDE Linux kernel Home range Debian Kernel X Window System Software Free software System software
125	TIME-ADAPTIVE KERNEL DENSITY FORECAST: A NEW METHOD FOR WIND POWER UNCERTAINTY MODELING R.J. Bessa1, J. Sumaili1, V. Miranda1, A. Botterud2, J. Wang2, E. Constantinescu3 1 Instituto de Engenharia de Sistemas e Computado Add to Reading List Source URL: www.pscc-central.org Language: English - Date: 2011-10-28 06:45:05 Econometrics Summary statistics Statistical forecasting Quantile regression Quantile Wind power forecasting Kernel regression Kernel density estimation Normal distribution Statistics Non-parametric statistics Regression analysis
126	Practice Midterm CMSC 426 The midterm will cover material up to and including background subtraction. Here are some topics it will be helpful to master for the midterm:  Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2010-03-18 10:16:21 Computer vision Computer graphics Gaussian function Histogram equalization Kernel density estimation Gaussian filter Histogram Edge detection Filter Image processing Statistics Non-parametric statistics
127	Wind Power Forecast with Probability Density Estimation: a Tool for the Business Ricardo Bessa ([removed])1, V. Miranda1, J. Sumaili1, A. Botterud2, Z. Zhou2 , J. Wang2 1INESC Porto, Faculty of Engineering, U Add to Reading List Source URL: www.dis.anl.gov Language: English - Date: 2011-11-29 08:43:52 Wind Wind power Statistical inference Estimation theory Mesoscale meteorology Wind power forecasting Kernel density estimation Regression analysis Wind farm Statistics Meteorology Atmospheric sciences
128	Microsoft Word - kahle.docx Add to Reading List Source URL: www.amstat.org Language: English - Date: 2014-07-24 14:39:20 Probability theory Cumulative distribution function Probability distribution Normal distribution Stable distribution Mathematica Kernel density estimation Log-normal distribution Mode Statistics Probability and statistics Wolfram Research
129	Y:JFOPRE8-05OPRE0825-FIN.DVI Add to Reading List Source URL: ise.tamu.edu Language: English - Date: 2010-10-26 10:39:52 Statistical inference Signal processing Kernel density estimation Statistical theory Estimator Normal distribution Gaussian function Density estimation Support vector machine Statistics Estimation theory Non-parametric statistics
130	Improved Information Gain Estimates for Decision Tree Induction Sebastian Nowozin Microsoft Research Cambridge, United Kingdom Abstract Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:46 Randomness Statistical theory Statistical inference Kullback–Leibler divergence Entropy Mean squared error K-nearest neighbor algorithm Estimator Kernel density estimation Statistics Estimation theory Information theory

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