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 +4 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
core +3 more sources
A joint penalized spline smoothing model for the number of positive and negative COVID-19 tests. [PDF]
PLoS ONEOne of the key tools to understand and reduce the spread of the SARS-CoV-2 virus is testing. The total number of tests, the number of positive tests, the number of negative tests, and the positivity rate are interconnected indicators and vary with time ...
Dries De Witte +4 more
doaj +2 more sources
Modeling coronary heart disease risk based on age, fatty food consumption and anxiety factors using penalized spline nonparametric logistic regression [PDF]
MethodsXCoronary Heart Disease (CHD) represents a significant public health challenge in Indonesia, contributing substantially to morbidity and mortality rates.
Nur Chamidah +6 more
doaj +2 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 +4 more sources
Detecting Age Prone to Growth Retardation in Children Through a Bi-Response Nonparametric Regression Model with a Penalized Spline Estimator [PDF]
Iranian Journal of Nursing and Midwifery ResearchBackground: The growth of children aged 0–60 months can impact their subsequent growth and development. This study aims to identify the vulnerable age for boys and girls, who experience growth retardation within this age range.
Anna Islamiyati +4 more
doaj +2 more sources
Bootstrapping for penalized spline regression
, 2006 We describe and contrast several different bootstrapping procedures for penalized spline smoothers. The bootstrapping procedures considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered an estimation technique to find an unknown smooth ...
Claeskens, Gerda +2 more
openaire +3 more sources
ESTIMASI PARAMETER REGRESI SPLINE DENGAN METODE PENALIZED SPLINE
Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya, 2019 Regresi spline merupakan suatu pendekatan ke arah pencocokan data dengan tetap memperhitungkan kemulusan kurva. Salah satu bentuk estimator dari regresi spline ialah penalized spline. Tujuan dari penelitian ini adalah untuk mengestimasi parameter regresi spline dengan metode penalized spline untuk data yang tidak memiliki pola tertentu. Data penelitian
Kurniasari, Wahyu +2 more
openaire +4 more sources
Using single-index ODEs to study dynamic gene regulatory network. [PDF]
PLoS ONE, 2018 With the development of biotechnology, high-throughput studies on protein-protein, protein-gene, and gene-gene interactions become possible and attract remarkable attention.
Qi Zhang, Yao Yu, Jun Zhang, Hua Liang
doaj +1 more source
Reproduction capabilities of penalized hyperbolic-polynomial splines
Applied Mathematics Letters, 2022 11 pages, 2 ...
Rosanna Campagna, Costanza Conti
openaire +5 more sources