In this paper we present a nonparametric Bayesian approach for £tting unsmooth or highly oscillating functions in regression models with binary responses. The approach extends previous work by Lang...
Automatic Evaluation of Landmarks for Image-Based Navigation Update (2009)
The successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on its accurate navigation. While GPS is not always available and pose estimation based...
Der Supercomputer am Universitätsrechenzentrum Heidelberg (2009)
Hebgen, Michael, Kredel, Heinz, Lang, Stefan
Was ist das bw-GRiD-Projekt eigentlich und wofür braucht man einen Supercomputer? Mit solchen Fragen konfrontierte Campus-TV den Leiter vom URZ, Prof. Michael Hebgen, der dazu einiges zu sagen...
Automatic Evaluation of Landmarks for Image-Based Navigation Update (2009)
The successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on its accurate navigation. While GPS is not always available and pose estimation based...
An Y-Schaltern konnte eine nichtlineare Verschiebung der Schwellspannung beobachtet werden. In einem Y-Schalter spaltet sich ein Stammwellenleiter über einen Verzweigungspunkt Y-förmig in zwei...
Peter Bastian, Klaus Johannsen, Stefan Lang, Ra Nägele, Volker Reichenberger, Gabriel Wittum, ...
Abstract. The program package UG provides a software platform for discretizing and solving partial differential equations. It supports high level numerical methods for unstructured grids on massively...
1.1. CONCEPTS OF LANDSCAPE ECOLOGY RELEVANT FOR ECOLOGICAL MONITORING (2008)
Thomas Blaschke, Manuel Conradi, Stefan Lang
image analysis for ecological monitoring of
Transferability of a Tree-Crown Delineation Approach Using Region-specific Segmentation (2008)
Dirk Tiede, Stefan Lang, Bernhard Maier
Abstract. In this paper we present experiences of a transferability study on single tree delineation by regionspecific segmentation of air-borne laser scanning (ALS) data with varying point density....
Peter Bastian, Klaus Johannsen, Stefan Lang, Christian Wieners, Volker Reichenberger, Gabriel Wittum, ...
High-accuracy simulation of density driven
Thomas Blaschke, Stefan Lang, Eric Lorup, Josef Strobl, Peter Zeil
While remote sensing has made enormous progress over recent years and a variety of sensors now deliver medium and high resolution data on an operational basis, a vast majority of applications still...
Stefan Lang, Christian Lerch, Oswald Marinoni
Due to its limited availability, the use of natural resources like groundwater, soil or sand and gravel often generates conflicts between different stakeholders. In Germany, for example, every person...
Peter Bastian, Klaus Birken, Klaus Johannsen, Stefan Lang, Nikolas Neuß, Christian Wieners, ...
The numerical solution of partial differential equations (PDEs) on unstructured grids using parallel computers leads to an increase in software complexity of several orders of magnitude when compared...
Oswald Marinoni, Stefan Lang, Christian Lerch
Summary: Sand and gravel are important raw materials which are needed for many civil engineering projects. Due to economic reasons, sand and gravel pits are frequently located in the periphery of...
Semiparametric Stepwise Regression to Estimate Sales Promotion Effects (2008)
Winfried J. Steiner, Christiane Belitz, Stefan Lang
semiparametric models to estimate the influence of price promotions on brand sales, and both obtained superior performance for their models compared to strictly parametric modeling. Following these...
The successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on an accurate target approach as well as the real time acquisition of detailed...
Stefan Lang, Christian Wieners, Gabriel Wittum
The application of adaptive parallel multigrid methods to problems in
Peter Bastian, Klaus Johannsen, Stefan Lang, Ra Nagele, Volker Reichenberger, Gabriel Wittum, ...
Abstract. The program package UG provides a software platform for discretizing and solving partial differential equations. It supports high level numerical methods for unstructured grids on massively...
Bayesian Geoadditive Seemingly Unrelated Regression (2007)
Stefan Lang, Samson B. Adebayo, Ludwig Fahrmeir, Winfried J. Steiner
Parametric seemingly unrelated (SUR) models are... In this paper, we develop a Bayesian semiparametric SUR model, where the usual linear predictors are replaced by more flexible additive predictors...
Rezensiertes Werk: Geschützt, geduldet, gleichberechtigt ... : die Juden im baden-württembergischen Franken vom 17. Jahrhundert bis zum Ende des Kaiserreichs (1918) / hrsg. von Gerhard Taddey. -...
Rezensiertes Werk: Geschützt, geduldet, gleichberechtigt ... : die Juden im baden-württembergischen Franken vom 17. Jahrhundert bis zum Ende des Kaiserreichs (1918) / hrsg. von Gerhard Taddey. -...
Blaschke, Thomas, Meisner, Robert, Almer, Alexander, Stelzl, Harald, Sparwasser, Nils, Tiede, Dirk, ...
In vielen Anwendungsbereichen erfordert die kartographische Darstellung eine rasche Reaktion und erfolgt daher unter großen Zeitdruck. Im Rahmen des EU-Expertennetzwerks GMOSS (Global Monitoring for...
Haie-Meder, Christine, Barillot, Isabelle, De Brabandere, Marisol, Dimopoulos, Johannes, ...
The second part of the GYN GEC ESTRO working group recommendations is focused on 3D dose-volume parameters for brachytherapy of cervical carcinoma. Methods and parameters have been developed and...
3D Forest structure analysis from optical and LIDAR data (2006)
Stefan Lang, Dirk Tiede, Bernhard Maier, Thomas Blaschke
In Austria about half of the entire area (46 %) is covered by forests. The majority of these are highly managed and controlled in growth. But besides timber production forest ecosystems play a...
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...
forests of Baden-Württemberg: An application of Bayesian (2006)
Nicole H. Augustin, Stefan Lang, Monica Musio, Klaus Von Wilpert
A spatial model for the needle losses of pine trees in the
Pötter, Richard, Briot, Edith, De Brabandere, Marisol, Dimopoulos, Johannes, ...
BACKGROUND AND PURPOSE: Brachytherapy (BT) plays a crucial role in the management of invasive cervix cancer from stage I to IV. Intracavitary techniques are based on afterloading devices, with...
Spatial indicators for nature conservation from European to local scale (2005)
Bock, Michael, Rossner, Godela, Wissen, Michael, Remm, Kalle, Lang, Stefan, Klug, Hermann, ...
The paper presents an overview of the objectives and exemplary results of the FP 5 project “Spatial Indicators for European Nature Conservation” (SPIN). The SPIN project is focused on the...
Semiparametric Stepwise Regression to Estimate Sales Promotion Effects (2005)
Steiner, Winfried J., Belitz, Christiane, Lang, Stefan
Kalyanam and Shively (1998) and van Heerde et al. (2001) have proposed semiparametric models to estimate the influence of price promotions on brand sales, and both obtained superior performance for...
Thomas Blaschke, Stefan Lang, Matthias Möller
Abstract. Environmental remote sensing is dominated by land use and land cover classifications. Different land cover features reflect electromagnetic radiation in different ways and remotely sensed...
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...
Broser, Philip J., Schulte, R., Lang, Stefan, Roth, Arnd, Helmchen, Fritjof, Waters, David Jack, ...
Two−photon microscopy in combination with novel fluorescent labeling techniques enables imaging of three−dimensional neuronal morphologies in intact brain tissue. In principle it is now possible...
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...
Penalized structured additive regression for space-time data: a Bayesian perspective (2004)
Ludwig Fahrmeir, Thomas Kneib, Stefan Lang
We propose extensions of penalized spline generalized additive models for analyzing space-time regression data and study them from a Bayesian perspective. Non-linear effects of continuous covariates...
forests of Baden-Württemberg: An application of Bayesian (2004)
Nicole H. Augustin, Stefan Lang, Monica Musio, Klaus Von Wilpert
A spatial model for the needle losses of pine trees in the
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...
Bender, Stefan, Kohlmann, Annette, Lang, Stefan
This paper deals with the effects of entry into motherhood on women's employment dynamics. Our analysis is based on the complete lifetime working- and income histories of a 1% sample of all persons...
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...
Penalized structured additive regression for space-time data: a Bayesian perspective (2003)
Ludwig Fahrmeir, Thomas Kneib, Stefan Lang
We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective. Non-linear effects of continuous covariates...
Bayesian Geoadditive Seemingly Unrelated Regression (2002)
Lang, Stefan, Adebayo, Samson B., Fahrmeir, Ludwig, Steiner, Winfried J.
Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may...
L.: Bayesian space-time analysis of health insurance data (2002)
Stefan Lang, Petra Kragler, Gerhard Haybach, Ludwig Fahrmeir
Generalized linear models (GLMs) and semiparametric extensions provide a exible framework for analyzing the claims process in non-life insurance. Currently, most applications are still based on...
Couplex Benchmark Computations with UG (2002)
This paper describes the numerical results for the Couplex benchmark obtained with the simulation software UG using vertex centered nite volume and higher order discontinuous Galerkin schemes....
Ziel dieser Arbeit ist die Numerische Simulation von partiellen Differentialgleichungen mit den aktuellen Methoden: Mehrgitterverfahren, lokale Gitteradaption und Parallelität. Besonders Aspekte des...
Zugl.: Stuttgart, Univ., Diss., 2001.
Stuttgart, Universiẗat, Diss., 2001.
Erlangen, Nürnberg, Univ., Diss., 2001.
Bayesian semiparametric regression analysis of multicategorical time-space data (2001)
We present a unified semiparametric Bayesian approach based on Markov random field priors for analyzing the dependence of multicategorical response variables on time, space and further covariates....
Bayesian Generalized Additive Mixed Models. A Simulation Study (2001)
Generalized additive mixed models extend the common parametric predictor of generalized linear models by adding unknown smooth functions of dierent types of covariates as well as random eects. From a...
Bayesian inference for generalized additive mixed models based on Markov random field priors (2001)
Summary. Most regression problems in practice require ¯exible semiparametric forms of the predictor for modelling the dependence of responses on covariates. Moreover, it is often necessary to add...
Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data (2000)
this paper, we consider multicategorical time-space data, where the spatial location or site s on a spatial array f1; : : : ; s; : : : ; Sg is given for each unit as an additional 1
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 . . . . . . . . . . . . . . . . ....
Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors (2000)
Most regression problems in practice require flexible semiparametric forms of the predictor for modelling the dependence of responses on covariates. Moreover, it is often necessary to add random...
In Schachtel, 13 x 15 cm.
Bayesian Inference for Generalized Additive Regression based on Dynamic Models (1999)
We present a general approach for Bayesian inference via Markov chain Monte Carlo (MCMC) simulation in generalized additive, semiparametric and mixed models. It is particularly appropriate for...
Horst Rollnik, Dietrich Wolf (editor, Peter Bastian, Peter Bastian, Klaus Johannsen, Klaus Johannsen, ...
published in
Zugl.: Karlsruhe, Univ., Diss., 1999.
Function Estimation with Locally Adaptive Dynamic Models (1998)
We present a nonparametric Bayesian method for fitting unsmooth and highly oscillating functions, which is based on a locally adaptive hierarchical extension of standard dynamic or state space...
Parallel Adaptive Multigrid Methods in Plane Linear Elasticity Problems (1996)
Peter Bastian, Stefan Lang, Knut Eckstein
this paper we discuss the implementation of parallel multigrid methods on unstructured locally refined meshes for 2D linear elasticity calculations. The problem of rebalancing the workload of the...
Bridges, Angela, Stuart, Fiona, Späth, Julia, Lang, Stefan, Henke, Christoph, Birch, Ashley, ...
Three single-chain antibody fragments that recognize the extracellular human interferon γ receptor α-chain (IFNγR), and inhibit the binding of human IFNγ, have been produced in Escherichia coli....
Mikrofiche-Ausg.: 1 Mikrofiche : 48x.
Heidelberg, Univ., Diss., 1987 (Nicht f.d. Austausch).
Lymphozytenkulturen bei blasenbildenden Dermatosen : Mit bes. Berücks. d. Pemphigusgruppe. (1969)
Tübingen, Med. F., Diss. v. 1. Aug. 1969.
Stefan Bender, Annette Kohlmann, Stefan Lang
This paper deals with the effects of entry into motherhood on women’s employment dynamics. Our analysis is based on the complete lifetime working- and income histories of a 1% sample of all persons...
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...
Additive models with random scaling factors: applications to modeling price response functions
Peter Wechselberger, Stefan Lang, Winfried J. Steiner
We discuss inference for additive models with random scaling factors. The additive effects are of the form (1+g)f(z) where f is a nonlinear function of the continuous covariate z modeled by...
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...
Nicole H. Augustin, Stefan Lang, Monica Musio, Klaus Von Wilpert
The data that are analysed are from a monitoring survey which was carried out in 1994 in the forests of Baden-Württemberg, a federal state in the south-western region of Germany. The survey is part...
Belitz, Christiane, Lang, Stefan
In recent years, considerable research has been devoted to developing complex regression models that can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster...
Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna
Wolfgang Brunauer, Stefan Lang, Peter Wechselberger, Sven Bienert
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...
Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data
Categorical time-space data, forest damage, latent utility models, Markov random fields, MCMC, probit models, semiparametric Bayesian inference, unemployment,