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Multivariate kernel density estimation
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21	Package ‘KernSmooth’ September 14, 2014 Priority recommended Version[removed]Date[removed]Title Functions for kernel smoothing for Wand & Jones (1995) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-14 04:53:19 Kernel Density estimation Linux kernel Bandwidth Gaussian function Normal distribution Standard deviation Variance Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
22	T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of E Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:22 Computational statistics Estimation theory Gaussian function Gibbs sampling Normal distribution Expectation–maximization algorithm Kullback–Leibler divergence Multivariate kernel density estimation Importance sampling Statistics Monte Carlo methods Non-parametric statistics
23	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
24	A Novel Nonparametric Two-Sample Hypothesis Test Using Geometric Formulations Zhengwu Zhang, Erick Klassen, Anuj Srivastava Florida State University Statistics Department, Florida State University Mathematics Depa Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English* - Date: 2014-07-30 15:15:25 Density estimation Gaussian function Histogram Bootstrapping Resampling Gaussian blur Statistical classification Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
25	PDF Document Add to Reading List Source URL: iis.uibk.ac.at Language: English - Date: 2013-05-17 07:27:57 Non-parametric statistics Signal processing Kernel density estimation Kernel principal component analysis Iterative closest point Support vector machine Gaussian function Normal distribution Manifold Statistics Machine learning Multivariate statistics
26	Nonparametric regresion models estimation in R Nonparametric regresion models estimation in R Maer Matei Monica Mihaela, Add to Reading List Source URL: r-project.ro Language: English - Date: 2014-04-03 09:55:11 Density estimation Kernel regression Resampling Regression analysis Bootstrapping Semiparametric regression Multivariate kernel density estimation Statistics Non-parametric statistics Nonparametric regression
27	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-290 July 30, 2010 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2010-08-23 13:55:54 Signal processing Linear algebra Hilbert space Kernel principal component analysis Kernel Reproducing kernel Hilbert space Linux kernel Bag of words model in computer vision Multivariate kernel density estimation Statistics Mathematics Algebra
28	Microsoft Word - AppendixD_8.docx Add to Reading List Source URL: www-personal.umich.edu Language: English - Date: 2013-11-21 10:47:19 Kernel density estimation Regression analysis Multivariate statistics Statistics Univariate Insurance
29	Optimal L1 Bandwidth Selection for Variable Kernel Density Estimates ` Alain BERLINET, G´erard BIAU and Laurent ROUVIERE ∗ Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2013-01-23 11:12:39 Kernel density estimation Dimensional analysis Statistical theory Computational statistics Multivariate kernel density estimation Maximum likelihood Statistics Non-parametric statistics Estimation theory
30	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-16 11:26:39 Gaussian function Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel principal component analysis Support vector machine Kernel methods Kernel Statistics Machine learning Non-parametric statistics

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