Nonlinear regression modeling and detecting change points via the relevance vector machine
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Bibliographic InfoArticle provided by Springer in its journal Computational Statistics.
Volume (Year): 26 (2011)
Issue (Month): 3 (September)
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Web page: http://www.springerlink.com/link.asp?id=120306
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- Seiya Imoto & Sadanori Konishi, 2003. "Selection of smoothing parameters inB-spline nonparametric regression models using information criteria," Annals of the Institute of Statistical Mathematics, Springer, vol. 55(4), pages 671-687, December.
- Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
- Irène Gijbels & Alexandre Lambert & Peihua Qiu, 2007. "Jump-Preserving Regression and Smoothing using Local Linear Fitting: A Compromise," Annals of the Institute of Statistical Mathematics, Springer, vol. 59(2), pages 235-272, June.
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