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Kernel smoother
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#	Item
11	Graduating the age-specific fertility pattern using Support Vector Machines Add to Reading List Source URL: www.demographic-research.org Language: English - Date: 2009-06-02 09:55:17 Regression analysis Statistical models Statistical classification Kernel regression Support vector machine Parametric model Total fertility rate Kernel smoother Estimation theory Statistics Non-parametric statistics Econometrics
12	Locally Weighted Learning for Control Alexander Skoglund Machine Learning Course AASS, June 2005 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-20 08:54:27 Local regression Kernel smoother Linear regression Statistics Regression analysis Nonparametric regression
13	Semiparametric Regression Analysis of Longitudinal Data Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2007-06-01 22:52:24 Non-parametric statistics Statistical theory Econometrics Nonparametric regression Smoothing Autoregressive conditional heteroskedasticity Semiparametric model Errors and residuals in statistics Kernel smoother Statistics Regression analysis Time series analysis
14	Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations on Wind Direction Ronald C. Henry Yu-Shuo Chang Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-09-21 14:37:09 Econometrics Regression analysis Statistical methods Nonparametric regression Gaussian function Kernel density estimation Bootstrapping Confidence interval Kernel smoother Statistics Non-parametric statistics Statistical inference
15	c 2009 Society for Industrial and Applied Mathematics SIAM J. IMAGING SCIENCES Vol. 2, No. 1, pp. 118–139 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-02-01 02:17:14 Statistics Noise reduction Kernel smoother Mathematics Signal processing Image denoising Image processing Gaussian function Exponentials
16	Introduction to Statistical Inference and Learning Instructors: Jonathan Rosenblatt, Boaz Nadler In this course we will cover the basic concepts underlying modern data analysis, machine learning and statistical inference Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2014-11-05 01:46:12 Machine learning Vladimir Vapnik Year of birth missing Density estimation Estimation theory Parametric statistics Interval estimation Kernel smoother Computational learning theory Statistics Statistical inference Non-parametric statistics
17	Internal Migration Age Profile Smoothing Methods Queensland Centre for Population Research A Comparison of Internal Migration Age Profile Smoothing Methods Add to Reading List Source URL: gpem.uq.edu.au Language: English - Date: 2012-11-04 23:36:57 Interpolation Image processing Signal processing Smoothing Kernel regression Spline Curve fitting Kernel smoother Degrees of freedom Statistics Non-parametric statistics Regression analysis
18	IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 Particle Smoothing in Continuous Time: A Fast Approach Via Density Estimation Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 07:16:30 Robot control Electronic engineering Computational statistics Estimation theory Monte Carlo methods Kalman filter Kernel smoother Kernel density estimation Auxiliary particle filter Statistics Non-parametric statistics Control theory
19	amc technical brief Editor M Thompson Analytical Methods Committee AMCTB No 4 Add to Reading List Source URL: www.rsc.org Language: English - Date: 2014-08-20 04:20:19 Histogram Mode Kernel smoother Plot Density estimation Normal distribution Kernel Smoothing Unimodality Statistics Non-parametric statistics Kernel density estimation
20	Model Free Curve Fitting Response variable: Y Explanatory variables Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2003-04-23 08:11:52 C-peptide Kernel smoother Expected value Statistics Regression analysis Local regression