Results 241 to 250 of about 34,984 (259)

Smoothing parameter selection using the L-curve

2012
The L-curve method has been used to select the penalty parameter in ridge regression. We show that it is also very attractive for smoothing, because of its low computational load. Surprisingly, it also is almost insensitive to serial correlation.
Frasso, Gianluca, Eilers, Paul H.C.
openaire   +1 more source

Controller Parameters Selection Through Bifurcation Analysis in a Piecewise-Smooth System

2007
Classical linear and nonlinear control techniques applied to piecewise-smooth (PWS) systems can be ineffective if an additional bifurcation analysis is not made. Due to the presence of discontinuities, PWS systems present a wide variety of standard and non-standard bifurcations.
Eva M. Navarro-López, Domingo Cortés
openaire   +1 more source

Smoothing Parameter Selection

2009
Paul P. B. Eggermont, Vincent N. LaRiccia   +1 more
openaire   +1 more source

Exponential smoothing model selection for forecasting

International Journal of Forecasting, 2006
Baki Billah, Maxwell L KING, Anne B Koehler   +2 more
exaly  

Model selection in regression based on pre-smoothing

Journal of Applied Statistics, 2010
Jeffrey Simonoff, Marc Aerts, Niel Hens   +2 more
exaly  

Component selection and smoothing in multivariate nonparametric regression

Annals of Statistics, 2006
Hao Helen Zhang
exaly  

Smoothing Parameter Selection and Inference

2011
openaire   +1 more source

Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods

Chemometrics and Intelligent Laboratory Systems, 2011
Jiemei Chen
exaly  

A stabilized bandwidth selection method for kernel smoothing of the periodogram

Signal Processing, 2001
Thomas C M Lee
exaly  

Bayesian approach to smoothing parameter selection in spline estimate for regression curve

International Journal of Computing Science and Mathematics, 2020
Sonia Amroun, Lamia Djerroud, Smail Adjabi   +2 more
openaire   +1 more source