Bayesian Analysis for Penalized Spline Regression Using WinBUGS

Bayesian Analysis for Penalized Spline Regression Using WinBUGS

Show other versions (1)

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. Bayesian inference for nonparametric models enjoys t...

Full description

Bibliographic Details
Main Authors:	Ciprian M. Crainiceanu, David Ruppert, Matthew P. Wand
Format:	Article
Language:	English
Published:	Foundation for Open Access Statistics 2005-09-01
Series:	Journal of Statistical Software
Online Access:	http://www.jstatsoft.org/index.php/jss/article/view/1463

Similar Items

Bayesian Analysis for Penalized Spline Regression Using WinBUGS
by: David Ruppert, et al.
Published: (2005-01-01)

Bayesian Functional Data Analysis Using WinBUGS
by: Ciprian M. Crainiceanu, et al.
Published: (2010-01-01)

R2WinBUGS: A Package for Running WinBUGS from R
by: Andrew Gelman, et al.
Published: (2005-01-01)

R2WinBUGS: A Package for Running WinBUGS from R
by: Sibylle Sturtz, et al.
Published: (2005-01-01)

An Introduction to Bayesian Methodology via WinBUGS and PROC MCMC
by: Lindsey, Heidi Lula
Published: (2011)

Bayesian Disease Mapping: A Literature Review With an Application, Using WinBugs Software
by: Radloff, S.E, et al.
Published: (2022)

WinBUGSio: A SAS Macro for the Remote Execution of WinBUGS
by: Michael K. Smith
Published: (2007-09-01)

Bayesian Analysis of Type I Interval Censored Data from Weibull Distribution Using WinBUGS
by: Wei-Sheng Huang, et al.
Published: (2013)

Compensating for Missing Data from Longitudinal Studies Using WinBUGS
by: Gretchen Carrigan, et al.
Published: (2007-06-01)

Bayesian Analysis of Type I Interval Censored Data from Generalized Exponential Distribution Using WinBUGS
by: Chih-Hsien Chang, et al.
Published: (2013)

An explanatory differential item functioning (DIF) model by the WinBUG 1.4
by: Fred W. Huffer, et al.
Published: (2007-03-01)

Uso de WinBUGS en los métodos bayesianos. Una aplicación en auditoría
by: Vázquez Polo, Francisco José, et al.
Published: (2001-01-01)

Markov Chain Monte Carlo Random Effects Modeling in Magnetic Resonance Image Processing Using the BRugs Interface to WinBUGS
by: David G. Gadian, et al.
Published: (2011-10-01)

TWO ESSAYS IN BAYESIAN PENALIZED SPLINES
by: LI, MIN
Published: (2002)

Direct Determination of Smoothing Parameter for Penalized Spline Regression
by: Takuma Yoshida
Published: (2014-01-01)

LASSO type penalized spline regression for binary data
by: Muhammad Abu Shadeque Mullah, et al.
Published: (2021-04-01)

A Bayesian Knots Selection Method for Regression Spline Estimation
by: Yang, Bo-Wei, et al.
Published: (2018)

The Bayesian Analysis of Logistic Regression Model Using R2OpenBUGS Package
by: Yi-Hsin Tseng, et al.
Published: (2017)

Ekonominio modelio tyrimas su Dynare ir Winbug programomis
by: Ulanovska, Anastazja
Published: (2014)

An Implementation of Bayesian Adaptive Regression Splines (BARS) in C with S and R Wrappers
by: Garrick Wallstrom
Published: (2007-02-01)

Penalized spline models and applications
by: Costa, M. J.
Published: (2008)

Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model
by: Monica Alexander, et al.
Published: (2018-01-01)

Streamflow Simulation Using Bayesian Regression with Multivariate Linear Spline to Estimate Future Changes
by: Rajarshi Das Bhowmik, et al.
Published: (2018-06-01)

Integration of association statistics over genomic regions using Bayesian adaptive regression splines
by: Zhang Xiaohua, et al.
Published: (2003-11-01)

Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
by: Laura M. Grajeda, et al.
Published: (2016-01-01)

Multivariate Regression Splines
by: Chen, Shing-Jin, et al.
Published: (1999)

MULTIVARIATE REGRESSION SPLINE
by: Wen-Rou Ke, et al.
Published: (1993)

PENALIZED B-SPLINES ON WEB SERVICES
by: hsu hui chen, et al.
Published: (2006)

Bayesian Analysis of GARCH Model in BUGS Language
by: Zhan-Ran Huang, et al.
Published: (2018)

Comparative Analysis for Robust Penalized Spline Smoothing Methods
by: Bin Wang, et al.
Published: (2014-01-01)

Analysis Using Smoothing Via Penalized Splines as Implemented in LME() in R
by: Howell, John R.
Published: (2007)

WebBUGS: Conducting Bayesian Statistical Analysis Online
by: Zhiyong Zhang
Published: (2014-11-01)

Multivariate Parallel Regression Splines
by: Chi-We Chen, et al.
Published: (2000)

MULTIVARITATE PARALLEL REGRESSION SPLINES
by: Zheng, Ping-Huang, et al.
Published: (1995)

Penalized splines as time series filters in economics
by: Blöchl, Andreas
Published: (2014)

Estimating conditional heteroscedastic nonlinear autoregressive model by using smoothing spline and penalized spline methods
by: Autcha Araveeporn
Published: (2019-08-01)

Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data
by: Anna Islamiyati, et al.
Published: (2020-08-01)

MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference
by: Robert J. B. Goudie, et al.
Published: (2020-10-01)

Comparison and Improvement for Confidence Bands Based on Penalized Spline
by: Yu, Po An, et al.

Optimal design in regression and spline smoothing
by: Cho, Jaerin
Published: (2007)