Flexible Estimation of Price Response Functions Using Retail Scanner Data (2007)
Steiner, Winfried, Brezger, Andreas, Belitz, Christiane
Kalyanam and Shively [1998. Estimating irregular pricing effects: a stochastic spline regression approach. Journal of Marketing Research 35 (1), 16–29] and van Heerde et al. [2001. Semiparametric...
Simultaneous probability statements for Bayesian Psplines. Revised for Statistical Modeling (2006)
P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis...
Generalized structured additive regression based on Bayesian P-splines (2006)
Generalized additive models (GAM) for modeling nonlinear effects of continuous covariates are now well established tools for the applied statistician. A Bayesian version of GAM’s and extensions to...
Generalized structured additive regression based on Bayesian P-splines (2006)
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM’s and...
Geoadditive survival models (2005)
Hennerfeind, Andrea, Brezger, Andreas, Fahrmeir, Ludwig
Survival data often contain small-area geographical or spatial information, such as the residence of individuals. In many cases the impact of such spatial effects on hazard rates is of considerable...
Simultaneous probability statements for Bayesian P-splines (2005)
P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis...
Geoadditive Survival Models: A Supplement (2005)
Hennerfeind, Andrea, Brezger, Andreas, Fahrmeir, Ludwig
This technical report supplements the paper Geoadditive Survival Models (Hennerfeind, Brezger and Fahrmeir, 2005, Revised for JASA). In particular, we describe the simulation study of this paper in...
Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping (2005)
Brezger, Andreas, Fahrmeir, Ludwig, Hennerfeind, Andrea
Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or...
Bayesian P-splines in structured additive regression models / (2005)
Zugl.: München, Univ., Diss., 2005.
Bayesian semiparametric regression based on MCMC techniques: A tutorial (2005)
Thomas Kneib, Stefan Lang, Andreas Brezger
This tutorial demonstrates the usage of BayesX for analysing Bayesian semiparametric regression models based on MCMC techniques. As an example we consider data on undernutrition of children in...
P-splines are an attractive approach for modelling nonlinear smooth eects of covariates within the generalized additive and varying coecient models framework. In this paper we propose a Bayesian...
Bayesian semiparametric regression based on MCMC techniques: A tutorial (2004)
Thomas Kneib, Stefan Lang, Andreas Brezger
This tutorial demonstrates the usage of BayesX for analysing Bayesian semiparametric regression models based on MCMC techniques. As an example we consider data on undernutrition of children in...
Thomas Kneib, Stefan Lang, Andreas Brezger
This tutorial demonstrates the usage of BayesX for analysing Bayesian semiparametric regression models based on mixed model methodology. As an example we consider data on undernutrition of children...
Bayesian P-Splines in Structured Additive Regression Models (2004)
Andreas Brezger, Andreas Brezger, Andreas Brezger, Erstgutachter Prof, Dr. Ludwig Fahrmeir, Zweitgutachter Prof, ...
vor der geraden Linie.
Generalized structured additive regression based on Bayesian P-splines (2003)
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM's and...
Brezger, Andreas, Steiner, Winfried J.
Generalized additive models have become a widely used instrument for flexible regression analysis. In many practical situations, however, it is desirable to restrict the flexibility of nonparametric...
BayesX: Analysing Bayesian structured additive regression models (2003)
Brezger, Andreas, Kneib, Thomas, Lang, S.
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused...
Geoadditive survival models (2003)
Hennerfeind, Andrea, Brezger, Andreas, Fahrmeir, Ludwig
Survival data often contain geographical or spatial information, such as the residence of individuals. We propose geoadditive survival models for analyzing spatial effects jointly with possibly...
Bayesx: Analysing bayesian semiparametric regression models. sfb 386 discussion paper 332 (2003)
There has been much recent interest in Bayesian inference for generalized additive and related models like varying coecients or mixed models. Up to now, software was available only for the...
P-splines are an attractive approach for modelling nonlinear smooth effects of covariates within the generalized additive and varying coefficient models framework. In this paper we propose a Bayesian...
BayesX is a Software tool for Bayesian inference based on Markov Chain Monte Carlo (MCMC) inference techniques. The main feature of BayesX so far, is a very powerful regression tool for Bayesian...
Markov Chain, Monte Carlo, Stefan Lang, Andreas Brezger
Contents 1 What is BayesX 4 2 Getting started 8 2.1 Installing BayesX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2 General usage of BayesX . . . . . . . . . . . . . . . . ....
BayesX: Analyzing Bayesian Structural Additive Regression Models
Andreas Brezger, Thomas Kneib, Stefan Lang
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused...
Simultaneous probability statements for Bayesian P-splines
P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis...