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Kernel smoother
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1	Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Statistics Estimation theory Nonparametric statistics Parametric statistics Polynomial regression Local regression Decision tree learning Kernel regression Ordinary least squares Nonparametric regression Linear regression
2	Recent Advances in Nonparametric Instrumental Regression Recent Advances in Nonparametric Instrumental Regression Overview Overview Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2014-09-28 17:43:43 Statistics Nonparametric statistics Statistical theory Estimation theory Regression analysis Nonparametric regression Kernel smoother Degrees of freedom Instrumental variable Kernel regression Statistical model Semiparametric regression
3	www.elsevier.com/locate/ynimg NeuroImage – 1103 Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data Donald J. Hagler Jr., ⁎ Ayse Pinar Saygin, and Martin I. Sereno Add to Reading List Source URL: sayginlab.ucsd.edu Language: English - Date: 2013-01-11 21:03:37 Gaussian function Image processing Statistics Nonparametric statistics Regression analysis Neuroscience Neuroimaging Mathematical analysis Functional magnetic resonance imaging Smoothing Kernel smoother Gaussian blur
4	DELFT UNIVERSITY OF TECHNOLOGY REPORTFast linear solver for pressure computation in layered domains P. van Slingerland and C. Vuik Add to Reading List Source URL: www.ewi.tudelft.nl Language: English - Date: 2012-08-15 08:36:00 Mathematics Mathematical analysis Multigrid method Wavelets Preconditioner Coarse space Kernel smoother Conjugate gradient method Matrix Numerical analysis Numerical linear algebra Domain decomposition methods
5	L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data Yan Zheng Jeff M. Phillips Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2015-06-08 15:43:19 Multivariate kernel density estimation Kernel density estimation Sigma-algebra Gaussian function Density estimation Kernel smoother Non-parametric statistics Statistics Mathematics
6	Smoothing and Non-Parametric Regression Germ´an Rodr´ıguez Spring, 2001 Objective: to estimate the effects of covariates X on a response y nonparametrically, letting the data suggest the appropri Add to Reading List Source URL: data.princeton.edu Language: English - Date: 2006-02-08 13:38:56 Numerical analysis Computer graphics Smoothing spline I-spline B-spline Degrees of freedom Kernel smoother Regression analysis Smoothing Splines Statistics Interpolation
7	Energy Efficiency and use of data from Smart Meters CITIES workshop DTU, May 2014 Peder Bacher, Henrik Aalborg Nielsen, Henrik Madsen Add to Reading List Source URL: smart-cities-centre.org Language: English - Date: 2015-01-09 10:46:13 Non-parametric statistics Kernel smoother Kernel
8	Non-Parametric Regression Modeling (PE & I version) Gary D. Knott, Ph.D. Civilized Software IncHeritage Park Circle Silver Spring, MDUSA Email: Add to Reading List Source URL: www.civilized.com Language: English - Date: 2009-08-20 17:07:15 Time series analysis Econometrics Data analysis Nonparametric regression Kernel smoother Kernel Smoothing Gaussian function Normal distribution Statistics Non-parametric statistics Regression analysis
9	File: /General/MLAB-Text/Papers/longpreg/bignpreg.tex Non-Parametric Regression Modeling Gary D. Knott, Ph.D. Civilized Software IncHeritage Park Circle Add to Reading List Source URL: www.civilized.com Language: English - Date: 2009-08-20 17:05:44 Regression analysis Econometrics Kernel smoother Data analysis Kernel Gaussian function Smoothing Normal distribution Nonparametric regression Statistics Non-parametric statistics Time series analysis
10	Instance Based Learning Alexander Skoglund Machine Learning Course AASS, April 2005 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-05-04 08:26:33 Search algorithms Numerical analysis K-nearest neighbor algorithm Dimension reduction Curse of dimensionality Nearest neighbor search Kernel smoother Artificial intelligence Statistics Machine learning