Add to ORKGPenalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally devel-oped for Bayesian analysis of mixed models can be used for penalized spline regression. Bayesian inference for nonparametric models enjoys the flexibility of nonparametric models and the exact inference provided by the Bayesian inferential machinery. This paper provides a simple, yet comprehensive, set of programs for the implementation of nonparametric Bayesian analysis in WinBUGS
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
Kauermann G, Claeskens G, Opsomer JD. Bootstrapping for Penalized Spline Regression. JOURNAL OF COMP...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
A Bayesian approach to nonparametric regression using Penalized splines (P-splines) is presented. Th...
From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an...
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities fo...
A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using...
We provide user friendly software for Bayesian analysis of functional data models using WinBUGS 1.4....
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use...
Methods for fitting survival regression models with a penalized smoothed hazard function have been r...
We describe and contrast several different bootstrap procedures for penalized spline smoothers. The ...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
Kauermann G, Claeskens G, Opsomer JD. Bootstrapping for Penalized Spline Regression. JOURNAL OF COMP...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed m...
A Bayesian approach to nonparametric regression using Penalized splines (P-splines) is presented. Th...
From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an...
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities fo...
A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using...
We provide user friendly software for Bayesian analysis of functional data models using WinBUGS 1.4....
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use...
Methods for fitting survival regression models with a penalized smoothed hazard function have been r...
We describe and contrast several different bootstrap procedures for penalized spline smoothers. The ...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
We demonstrate the use of three popular Bayesian software packages that enable researchers to estima...
Kauermann G, Claeskens G, Opsomer JD. Bootstrapping for Penalized Spline Regression. JOURNAL OF COMP...