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Local regression
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31	NONPARAMETRIC REGRESSION IN IMAGING: FROM LOCAL KERNEL TO MULTIPLE-MODEL NONLOCAL COLLABORATIVE FILTERING Vladimir Katkovnik, Alessandro Foi, Karen Egiazarian, and Jaakko Astola Department of Signal Processing, Tampere U Add to Reading List Source URL: ticsp.cs.tut.fi Language: English - Date: 2008-09-03 07:24:05 Regression analysis Econometrics Image denoising Spatial data analysis Nonparametric regression Kernel regression Mutual information M-estimator Statistics Non-parametric statistics Estimation theory
32	Estimating Local Fiscal Multipliers Juan Carlos Suárez Serrato and Philippe Wingender Department of Economics University of California, Berkeley November 11, 2010 Add to Reading List Source URL: ceg.berkeley.edu Language: English - Date: 2011-02-28 17:22:48 Censuses Econometrics Regression analysis Demography Government spending Instrumental variable American Recovery and Reinvestment Act United States public debt Fiscal multiplier Statistics Economics Fiscal policy
33	PDF Document Add to Reading List Source URL: cran.cc.uoc.gr Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
34	PDF Document Add to Reading List Source URL: cran.es.r-project.org Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
35	Semiparametric Efficiency in Nonlinear LATE Models HAN HONG and DENIS NEKIPELOV1 This version: October 2008 Key words: Semiparametric efficiency bound, local treatment effect, FTP, child achievement, unemployment benefit Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2010-12-02 19:46:16 Regression analysis Instrumental variable Linear regression Kernel regression Efficient estimator Generalized method of moments Statistics Econometrics Estimation theory
36	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.usthb.dz Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
37	Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011 Local linear regression for soft-sensor design with application to an industrial deethanizer Zhanxing Zhu ∗ Francesco Corona ∗ Am Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-09-03 12:52:08 Local regression Linear regression K-nearest neighbor algorithm Least squares Instrumental variable Ethane Regression Cross-validation Calibration Statistics Regression analysis Econometrics
38	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.ms.unimelb.edu.au Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
39	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: dirichlet.mat.puc.cl Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
40	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.skazkaforyou.com Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression