Results 291 to 300 of about 448,585 (316)

A proposal method for selecting smoothing parameter with missing values

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE), 2012
In this paper we proposed a new method for selecting a smoothing parameter in kernel estimator to estimate a nonparametric regression function in the presence of missing values. The proposed method is based on work on the golden ratio and Surah AL-E-Imran in the Qur'an. Simulation experiments were conducted to study a small sample behavior. The results
Qutaiba N. Nayef Al-Kazaz, Munaf Yousif Aldahham   +1 more
openaire   +1 more source

Simultaneous selection of variables and smoothing parameters by genetic algorithms

2004
In additive models the problem of variable selection is strongly linked to the choice of the amount of smoothing used for components that represent metrical variables. Many software packages use separate toolsto solve the different tasks of variable selection and smoothing parameter choice.
Krause, Rüdiger, Tutz, Gerhard
openaire   +2 more sources

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 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

Gradient-based smoothing parameter selection for nonparametric regression estimation

, 2015
D. J. Henderson, Qi Li, Christopher F. Parmeter, Shuang Yao   +3 more
semanticscholar   +1 more source

Spatially adaptive smoothing parameter selection for Markov random field based sub-pixel mapping of remotely sensed images

, 2012
Xiaodong Li, Yun Du, F. Ling
semanticscholar   +1 more source

Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models

, 2012
D. Aydin, Memmedaga Memmedli
semanticscholar   +1 more source

Smoothing parameter selection methods for nonparametric regression with spatially correlated errors

, 2005
M. Francisco-Fernández, J. Opsomer
semanticscholar   +1 more source

Efficient basis selection for smoothing splines via rotated lattices

Stat, 2023
Huaimin Diao, Yubin Tian, Jun Yu
exaly  

Smoothing parameter selection in nonparametric regression using an improved kullback information criterion

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2005
M. Bekara, B. Hafidi, G. Fleury
semanticscholar   +1 more source