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Generalized structured additive regression based on Bayesian P-splines

• Andreas Brezger, Stefan Lang
• Computational Statistics & Data Analysis
• 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… (More)

BayesX : Analysing Bayesian structured additive regression models

• Andreas Brezger, Thomas Kneib, Stefan Lang
• 2005

SUMMARY 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… (More)

BayesX Software for Bayesian Inference in Structured Additive Regression Models Version 2 . 0 . 1 Methodology Manual Developed by

• Christiane Belitz, Andreas Brezger, Thomas Kneib
• 2009

Special thanks go to (in alphabetical order of first names): Achim Zeileis for advertising HCL colors; Dieter Gollnow for computing and providing the map of Munich (a really hard job); Leo Held for… (More)

Hennerfeind : Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping

• Andreas Brezger, Ludwig Fahrmeir, Andrea Hennerfeind
• 2007

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… (More)

Steiner : Monotonic regression based on Bayesian P-splines : an application to estimating price response functions from store-level scanner data

• Andreas Brezger, Winfried Steiner
• 2004

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… (More)

Bayesian semiparametric regression based on mixed model methodology : A tutorial

• Thomas Kneib, Stefan Lang, Andreas Brezger
• 2004

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… (More)

Monotonic Spline Regression to Estimate Promotional Price Effects: A Comparison to Benchmark Parametric Models

• Andreas Brezger, Winfried Steiner
• 2005

BayesX - Software for Bayesian Inference based on Markov Chain Monte Carlo simulation techniques

• Stefan Lang, Andreas Brezger
• 2000

Acknowledgements: The development of BayesX has been supported by grants from the German National Science Foundation (DFG), Sonderforschungsbereich 386. Special thanks go to (in alphabetical order of… (More)

Bayesian semiparametric regression based on MCMC techniques : A tutorial

• Thomas Kneib, Stefan Lang, Andreas Brezger
• 2004

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… (More)

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