Identification of Nonlinear Additive Autoregressive Models Jianhua Z. Huang † The Wharton School, University of Pennsylvania, Philadelphia, USA. Lijian Yang Michigan State University, East Lansing, USA.

First Page		Document Content
Date: 2005-10-07 17:56:44 Multivariate adaptive regression splines Smoothing spline Spline Linear regression Additive model Akaike information criterion B-spline Least squares Feature selection Statistics Regression analysis Nonparametric regression		Identification of Nonlinear Additive Autoregressive Models Jianhua Z. Huang † The Wharton School, University of Pennsylvania, Philadelphia, USA. Lijian Yang Michigan State University, East Lansing, USA. Add to Reading List Source URL: www.stat.tamu.edu Download Document from Source Website File Size: 197,67 KB Share Document on Facebook

	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 DocID: 1sm5A - View Document
	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 DocID: 1rL10 - View Document
	Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG ∗ January 11, 2006 DocID: 1rzew - View Document
	Smoothing Spline Density Estimation Chi-Yang Chiu FebUCSB PSTAT (Institute) DocID: 1ruoR - View Document
	Nonparametric spectral analysis with applications to seizure characterization using EEG time series DocID: 1qRaW - View Document