Quantile regression provides a convenient framework for analyzing the impact of covariates on the complete conditional distribution of a response variable instead of only the mean. While frequentist treatments of quantile regression are typically completely nonparametric, a Bayesian formulation...

In this paper, we propose a unified Bayesian approach for multivariate structured additive distributional regression analysis where inference is applicable to a huge class of multivariate response distributions, comprising continuous, discrete and latent models, and where each parameter of these...

This paper analyzes house price data belonging to three hierarchical levels of spatial units. House selling prices with associated individual attributes (the elementary level-1) are grouped within municipalities (level-2), which form districts (level-3), which are themselves nested in counties...

P(enalized)-splines and fractional polynomials (FPs) have emerged as powerful smoothing techniques with increasing popularity in applied research. Both approaches provide considerable flexibility, but only limited comparative evaluations of the performance and properties of the two methods have...

In this contribution we establish hedonic pricing models integrating spatial effects. Based on prices for more than 52,000 residences in the Vienna region, which are arranged by postal code, we specify a hedonic regression model which explains the price structure in this sample. For this purpose...

This paper discusses random intercept selection within the context of semiparametric regression models with structured additive predictor (STAR). STAR models can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterogeneity...

The Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 (Energy Performance of Buildings Directive, EPD) requires member states to introduce an energy certification in order to reduce energy consumption in buildings. This new directive should help reveal saving...

Whereas child mortality has been decreased globally in the last 20 years, high levels persist in Sub-Saharan Africa. This paper analyzes child mortality in 25 Sub-Saharan countries based on household survey data. We employ a new multilevel approach with structured additive predictor within the...

We apply additive mixed regression models (AMM) to estimate hedonic price equations. Non-linear effects of continuous covariates as well as a smooth time trend are modeled non-parametrically through P-splines. Unobserved district-specific heterogeneity is modeled in two ways: First, by location...

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 of Markov chain Monte Carlo simulation techniques for inference. In this work we adopt and...