Results 11 to 20 of about 4,541 (238)

SEMIPARAMETRIC PENALIZED SPLINE REGRESSION [PDF]

open access: yesBulletin of informatics and cybernetics, 2012
In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a parametric approach and a nonparametric penalized spline method. The overall shape of the true regression function is captured by the parametric part, while its residual is consistently estimated by the nonparametric part.
Yoshida, Takuma, Naito, Kanta
openaire   +2 more sources

Dynamic Penalized Splines for Streaming Data

open access: yesStatistica Sinica, 2022
Summary: We propose a dynamic version of the penalized spline regression designed for streaming data that allows for the insertion of new knots dynamically based on sequential updates of the summary statistics. A new theory using direct functional methods rather than the traditional matrix analysis is developed to attain the optimal convergence rate in
Xue, Dingchuan, Yao, Fang
openaire   +1 more source

Penalized regression splines in Mixture Density Networks

open access: yesThe International Journal of Biostatistics, 2022
Abstract Mixture Density Networks (MDN) belong to a class of models that can be applied to data which cannot be sufficiently described by a single distribution since it originates from different components of the main unit and therefore needs to be described by a mixture of densities.
Seifert, Quentin Edward   +6 more
openaire   +3 more sources

Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal

open access: yesMathematics, 2021
Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal   +2 more
doaj   +1 more source

Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings

open access: yesMathematics, 2020
Rock art paintings present high sensitivity to light, and an exhaustive evaluation of the potential color degradation effects is essential for further conservation and preservation actions on these rock art systems.
Gabriel Riutort-Mayol   +3 more
doaj   +1 more source

Semiparametric Additive Beta Regression Models

open access: yesRevstat Statistical Journal, 2021
In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar   +2 more
doaj   +1 more source

Fast Adaptive Penalized Splines

open access: yesJournal of Computational and Graphical Statistics, 2008
This article proposes a numerically simple method for locally adaptive smoothing. The heterogeneous regression function is modeled as a penalized spline with a varying smoothing parameter modeled as another penalized spline. This is formulated as a hierarchical mixed model, with spline coefficients following zero mean normal distribution with a smooth ...
Krivobokova, Tatyana   +2 more
openaire   +4 more sources

Bayesian Analysis for Penalized Spline Regression Using WinBUGS

open access: yesJournal of Statistical Software, 2005
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Ciprian M. Crainiceanu   +2 more
doaj   +1 more source

Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping

open access: yesThe Plant Genome, 2021
Plant phenotyping under field conditions plays an important role in agricultural research. Efficient and accurate high‐throughput phenotyping strategies enable a better connection between genotype and phenotype.
Jinyu Wang   +7 more
doaj   +1 more source

The Effect of the Outliers and Leverage Points in the Construction of the Bayesian and Bootstrap Confidence Intervals [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2019
The aim of this research is to compare the bootstrap confidence intervals with the Bayesian confidence intervals for smoothing splines as well as the traditional confidence intervals to determine which of these limits are best in the presence of Outliers
Muzahim Mohammed
doaj   +1 more source

Home - About - Disclaimer - Privacy