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Journal of the American Statistical Association Volume 86, 1991 - Issue 415
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Theory and Methods

Choosing a Range for the Amount of Smoothing in Nonparametric Regression

Douglas Nychka Department of Statistics, North Carolina State University, Raleigh, NC, 27695–8203
Pages 653-664 | Received 01 Jul 1990, Published online: 27 Feb 2012

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Didier A. Girard. (2010) Estimating the accuracy of (local) cross-validation via randomised GCV choices in kernel or smoothing spline regression. Journal of Nonparametric Statistics 22:1, pages 41-64.
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E. Ayuga Téllez, A.J. Martín Fernández, C. González García & E. Martínez Falero. (2006) Estimation of non-parametric regression for dasometric measures. Journal of Applied Statistics 33:8, pages 819-836.
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GeorgiyV. Bobashev, StephenP. Ellner, DouglasW. Nychka & BryanT. Grenfell. (2000) Reconstructing susceptible and recruitment dynamics from measles epidemic data. Mathematical Population Studies 8:1, pages 1-29.
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Kristen Meier & Douglas Nychka. (1993) Nonparametric Estimation of Rate Equations for Nutrient Uptake. Journal of the American Statistical Association 88:422, pages 602-614.
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Articles from other publishers (16)

Marwah Yahya Mustafa & Zakariya Yahya Algamal. (2021) Smoothing parameter selection in kernel nonparametric regression using bat optimization algorithm. Journal of Physics: Conference Series 1897:1, pages 012010.
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David W. Scott. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 7 .
C. Shane Reese, Brittany S. Spencer & Erika L. Ball. (2015) Modeling supernovae light curves: An application of hierarchical smoothing splines. Statistical Analysis and Data Mining: The ASA Data Science Journal 8:5-6, pages 302-313.
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Ivana Horová. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Christopher H. Martin & Peter C. Wainwright. (2013) Multiple Fitness Peaks on the Adaptive Landscape Drive Adaptive Radiation in the Wild. Science 339:6116, pages 208-211.
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Ivana Horová. 2001. Encyclopedia of Environmetrics. Encyclopedia of Environmetrics.
Herwig Friedl & Erwin Stampfer. 2001. Encyclopedia of Environmetrics. Encyclopedia of Environmetrics.
Boaz Lerner. (2004) Bayesian fluorescence in situ hybridisation signal classification. Artificial Intelligence in Medicine 30:3, pages 301-316.
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Ivana Horová, Jiří Zelinka, Rudolf Brázdil & Marie Budíková. (2003) Density estimate and its application to analysis of temperature series. Environmetrics 14:1, pages 87-102.
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Robert Jernigan & Julie O’Connell. (2019) Influence on Smoothness in Penalized Likelihood Regression for Binary Data. Computational Statistics 16:4, pages 481-504.
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Douglas W. Nychka. 2000. Smoothing and Regression. Smoothing and Regression 393 424 .
Detlef Müller, Ulla Wandinger & Albert Ansmann. (1999) Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization: simulation. Applied Optics 38:12, pages 2358.
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D.S.G. Pollock. 1999. Handbook of Time Series Analysis, Signal Processing, and Dynamics. Handbook of Time Series Analysis, Signal Processing, and Dynamics 261 291 .
Daniel Keren & Anna Gotlib. (1998) Denoising Color Images Using Regularization and “Correlation Terms”. Journal of Visual Communication and Image Representation 9:4, pages 352-365.
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Daniel Keren & Michael Werman. 1996. Maximum Entropy and Bayesian Methods. Maximum Entropy and Bayesian Methods 77 84 .
Douglas Nychka, Stephen Ellner, A. Ronald Gallant & Daniel McCaffrey. (2018) Finding Chaos in Noisy Systems. Journal of the Royal Statistical Society: Series B (Methodological) 54:2, pages 399-426.
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