Results 21 to 30 of about 4,500 (154)
Bayesian Analysis for Penalized Spline Regression Using WinBUGS
Journal 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
The 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
Direct Determination of Smoothing Parameter for Penalized Spline Regression
Journal of Probability and Statistics, 2014 Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
doaj +1 more source
The Effect of the Outliers and Leverage Points in the Construction of the Bayesian and Bootstrap Confidence Intervals [PDF]
المجلة 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
The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling
Journal of Scientific Research and Reports, 2015 Aims: The aim of this study is modeled the ratios of export to imports data in Turkey by using nonparametric regression methods. Study Design: This was Spline, Bayesian Spline and Penalized Spline Regression modeling study. Place and Duration of Study: Turkish Statistical Institute.
Erdoğan, M Sami, Oruç, Özlem Ege
openaire +3 more sources
‘Asymptotic properties of penalized spline estimators’
Biometrika, 2009 We study the class of penalized spline estimators, which enjoy similarities to both regression splines, without penalty and with fewer knots than data points, and smoothing splines, with knots equal to the data points and a penalty controlling the roughness of the fit.
Gerda Claeskens +2 more
openaire +3 more sources
Bootstrapping for Penalized Spline Regression [PDF]
Journal of Computational and Graphical Statistics, 2009 We describe and contrast several different bootstrap procedures for penalized spline smoothers. The bootstrap methods considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered as an estimation technique to find an unknown smooth function ...
Kauermann, Göran +2 more
openaire +1 more source
Frontiers in Aging Neuroscience, 2022 PurposePreviously, sex and apolipoprotein E (APOE) genotype had distinct effects on the cognitive trajectory across the Alzheimer’s disease (AD) continuum.
Jun Pyo Kim +21 more
doaj +1 more source
A Semiparametric Sequential Ordinal Model with Applications to Analyse First Birth Intervals
Austrian Journal of Statistics, 2016 A semiparametric sequential ordinal model is proposed to analyze socio-demographic and spatial determinants of first birth intervals after marriage. Random effects are introduced to capture spatially structured and unstructured latent covariates.
Lawrence Kazembe
doaj +1 more source
Mathematics, 2021 The financial catastrophe resulting from the out-of-pocket payments necessary to access and use healthcare systems has been widely studied in the literature. The aim of this work is to predict the impact of the financial catastrophe a household will face
Maria-Carmen García-Centeno +2 more
doaj +1 more source