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Smoothing spline
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#	Item
1	Hypothesis Testing in Smoothing Spline Models Anna Liu and Yuedong Wang∗ October 10, 2002 Abstract This article provides a unified and comparative review of some existing test methods for the hypothesis of a parametric Add to Reading List Source URL: www.pstat.ucsb.edu - Date: 2002-10-20 23:06:33
2	Smoothing Spline Semi-parametric Nonlinear Regression Models Yuedong Wang and Chunlei Ke∗ June 23, 2008 Abstract We consider the problem of modeling the mean function in regression. Often there is enough Add to Reading List Source URL: www.pstat.ucsb.edu - Date: 2008-08-16 14:25:35
3	Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG ∗ January 11, 2006 Add to Reading List Source URL: www.pstat.ucsb.edu - Date: 2006-01-11 18:45:33
4	Smoothing Spline Density Estimation Chi-Yang Chiu FebUCSB PSTAT (Institute) Add to Reading List Source URL: www.pstat.ucsb.edu - Date: 2014-11-07 15:19:43
5	Nonparametric spectral analysis with applications to seizure characterization using EEG time series Add to Reading List Source URL: arxiv.org Language: English - Date: 2009-01-27 11:29:59 Statistics Regression analysis Estimation theory Functional analysis Signal processing Smoothing spline Connection Variance function Spectrum Spectral density estimation Confidence interval
6	University of California, Santa Barbara Department of Statistics and Applied Probability PSTAT 262SP Smoothing Spline Models and Their Applications Course Description: This course is about a particular class of modern no Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2005-09-22 16:34:39 Statistics Regression analysis Nonparametric regression Statistical methods Image processing Signal processing Smoothing Spline Generalized additive model Additive model Nonparametric statistics Functional data analysis
7	January 20, S1793536910000616:11 WSPCAADA Add to Reading List Source URL: rcada.ncu.edu.tw Language: English - Date: 2011-02-08 04:22:41 Signal processing Interpolation Time series analysis Electrical engineering Statistics HilbertHuang transform Mathematical analysis Image processing Spline Hilbert spectral analysis Cubic Hermite spline Smoothing
8	Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection Christopher R Madan Boston College 27 June 2016 Paper DOI: http://dx.doi.orgjoss.00031 Add to Reading List Source URL: www.cmadan.com Language: English - Date: 2016-07-02 04:12:05 Statistics Statistical methods Regression analysis Econometrics Statistical classification Estimation theory Relevance vector machine Linear regression Smoothing spline Feature selection Support vector machine Spline
9	ASSIST: A Suite of S functions Implementing Spline smoothing Techniques Yuedong Wang∗ University of California, Santa Barbara, USA and Chunlei Ke Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2004-05-19 00:27:37 Regression analysis Interpolation Statistical methods Econometrics Multivariate interpolation Smoothing spline Spline Thin plate spline Generalized additive model Linear regression Cubic Hermite spline Nonparametric regression
10	March 9, 2012 9:59 WSPCAADAAdvances in Adaptive Data Analysis Vol. 3, No–540 Add to Reading List Source URL: rcada.ncu.edu.tw Language: English - Date: 2012-04-22 23:10:51 Interpolation Signal processing HilbertHuang transform Spline Cubic Hermite spline Smoothing spline Envelope Sinc function Fourier transform

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