Additive mixed models with Dirichlet process mixture and P-spline priors (2009)
Heinzl, Felix, Kneib, Thomas, Fahrmeir, Ludwig
Longitudinal data often require a combination of flexible trends and individual-specific random effects. In this paper, we propose a fully Bayesian approach based on Markov chain Monte Carlo...
Fenske, Nora, Kneib, Thomas, Hothorn, Torsten
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the...
The Akaike information criterion (AIC) is often used in regression models to determine the model specifcation most suitable for describing a specifc data generating mechanism. In particular, in...
The Akaike information criterion (AIC) is often used in regression models to determine the model specifcation most suitable for describing a specifc data generating mechanism. In particular, in...
The Akaike information criterion (AIC) is often used in regression models to determine the model specifcation most suitable for describing a specifc data generating mechanism. In particular, in...
The Akaike information criterion (AIC) is often used in regression models to determine the model specifcation most suitable for describing a specifc data generating mechanism. In particular, in...
Variable Selection and Model Choice in Geoadditive Regression Models (2009)
Thomas Kneib, Torsten Hothorn, Gerhard Tutz, Thomas Kneib, Torsten Hothorn, Gerhard Tutz
Model choice and variable selection are issues of major concern in practi-cal regression analyses. We propose a boosting procedure that facilitates both tasks in a class of complex geoadditive...
Kneib, Thomas, Konrath, Susanne, Fahrmeir, Ludwig
Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While...
Spatial Smoothing Techniques for the Assessment of Habitat Suitability (2008)
Thomas Kneib, Jörg Müller, Nationalparkverwaltung Bayerischer Wald, Torsten Hothorn
Precise knowledge about factors influencing the habitat suitability of a certain species forms the basis for the implementation of effective programs to conserve biological diversity. Such knowledge...
Ludwig-Maximilians-University Munich (2008)
Investigating habitat selection of animals aims at the detection of preferred and avoided habitat types as well as at the identification of covariates influencing the choice of certain habitat types....
Variable Selection and Model Choice in Structured Survival Models (2008)
Hofner, Benjamin, Hothorn, Torsten, Kneib, Thomas
In many situations, medical applications ask for flexible survival models that allow to extend the classical Cox-model via the inclusion of time-varying and nonparametric effects. These structured...
Bayesian Regularisation in Structured Additive Regression Models for Survival Data (2008)
Konrath, Susanne, Kneib, Thomas, Fahrmeir, Ludwig
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models....
Conditional variable importance for random forests (2008)
Strobl, Carolin, Boulesteix, Anne-Laure, Kneib, Thomas, Augustin, Thomas, Zeileis, Achim
Abstract Background Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems, complex interactions and even highly correlated...
Model Choice in Cox-Type Additive Hazard Regression Models with Time-Varying Effects (2008)
Hofner, Benjamin, Kneib, Thomas, Hartl, Wolfgang, Küchenhoff, Helmut
In recent years, flexible hazard regression models based on penalised splines have been developed that allow us to extend the classical Cox-model via the inclusion of time-varying and nonparametric...
Thomas Kneib Survey and Data Survey and Data (2008)
Spatially correlated categorical time series: A case study in forest health 1. Survey and data 2. Regression models for ordinal responses 3. Geoadditive mixed models 4. Mixed model based inference 5....
Conditional Variable Importance for Random Forests (2008)
Strobl, Carolin, Boulesteix, Anne-Laure, Kneib, Thomas, Augustin, Thomas, Zeileis, Achim
Random forests are becoming increasingly popular in many scientific fields because they can cope with ``small n large p'' problems, complex interactions and even highly correlated predictor...
Locally Adaptive Bayesian P-Splines with a Normal-Exponential-Gamma Prior (2008)
Scheipl, Fabian, Kneib, Thomas
The necessity to replace smoothing approaches with a global amount of smoothing arises in a variety of situations such as effects with highly varying curvature or effects with discontinuities. We...
A General Approach for the Analysis of Habitat Selection (2007)
Kneib, Thomas, Knauer, Felix, Küchenhoff, Helmut
Investigating habitat selection of animals aims at the detection of preferred and avoided habitat types as well as at the identification of covariates influencing the choice of certain habitat types....
Variable Selection and Model Choice in Geoadditive Regression Models (2007)
Kneib, Thomas, Hothorn, Torsten, Tutz, Gerhard
Model choice and variable selection are issues of major concern in practical regression analyses. We propose a boosting procedure that facilitates both tasks in a class of complex geoadditive...
Introduction to the Special Volume on (2007)
The third special volume in the "Foometrics in R" series of the Journal of Statistical Software collects a number of contributions describing statistical methodology and corresponding implementations...
Thomas Kneib, Bernhard Baumgartner, Winfried J. Steiner
The multinomial logit model (MNL) is one of the most frequently used statistical models in marketing applications. It allows to relate an unordered categorical response variable, for example...
Mixed model based inference in structured additive regression (2006)
Due to the increasing availability of spatial or spatio-temporal regression data, models that allow to incorporate the special structure of such data sets in an appropriate way are highly desired in...
Mixed model based inference in structured additive regression (2006)
Due to the increasing availability of spatial or spatio-temporal regression data, models that allow to incorporate the special structure of such data sets in an appropriate way are highly desired in...
Spatial Smoothing Techniques for the Assessment of Habitat Suitability (2006)
Kneib, Thomas, Müller, Jörg, Hothorn, Torsten
Precise knowledge about factors influencing the habitat suitability of a certain species forms the basis for the implementation of effective programs to conserve biological diversity. Such knowledge...
Semiparametric Multinomial Logit Models for Analysing Consumer Choice Behaviour (2006)
Kneib, Thomas, Baumgartner, Bernhard, Steiner, Winfried J.
The multinomial logit model (MNL) is one of the most frequently used statistical models in marketing applications. It allows to relate an unordered categorical response variable, for example...
Bayesian Semiparametric Multi-State Models (2006)
Kneib, Thomas, Hennerfeind, Andrea
Multi-state models provide a unified framework for the description of the evolution of discrete phenomena in continuous time. One particular example are Markov processes which can be characterised by...
Fahrmeir, Ludwig, Kneib, Thomas
Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified...
Kneib, Thomas, Fahrmeir, Ludwig
This technical report acts as a supplement to the paper "Structured additive regression for categorical space-time data: A mixed model approach" (Kneib and Fahrmeir, Biometrics, 2005, to appear)....
Geoadditive hazard regression for interval censored survival times (2005)
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the...
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...
Structured additive regression for multicategorical space-time data: A mixed model approach (2004)
Kneib, Thomas, Fahrmeir, Ludwig
In many practical situations, simple regression models suffer from the fact that the dependence of responses on covariates can not be sufficiently described by a purely parametric predictor. For...
A mixed model approach for structured hazard regression (2004)
Kneib, Thomas, Fahrmeir, Ludwig
The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to...
Structured additive regression for multicategorical space-time data: A mixed model approach (2004)
In many practical situations, simple regression models suffer from the fact that the dependence of responses on covariates can not be sufficiently described by a purely parametric predictor. For...
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...
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...
Penalized additive regression for space-time data: a Bayesian perspective (2003)
Fahrmeir, Ludwig, Kneib, Thomas, Lang, S.
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...
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...
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...
Semiparametric multinomial logit models for analysing consumer choice behaviour
Thomas Kneib, Bernhard Baumgartner, Winfried Steiner
Brand choice, Conditional logit model, Mixed models, Multinomial logit model, Penalised splines, Proper scoring rules, Semiparametric regression ,
A Mixed Model Approach for Geoadditive Hazard Regression
Mixed model based approaches for semiparametric regression have gained much interest in recent years, both in theory and application. They provide a unified and modular framework for penalized...
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...
Introduction to the Special Volume on "Ecology and Ecological Modeling in R"
The third special volume in the “Foometrics in R†series of the Journal of Statistical Software collects a number of contributions describing statistical methodology and corresponding...
Conditional variable importance for random forests
Strobl, Carolin, Boulesteix, Anne-Laure, Kneib, Thomas, Augustin, Thomas, Zeileis, Achim
Simultaneous Confidence Bands for Penalized Spline Estimators
Tatyana Krivobokova, Thomas Kneib, Gerda Claeskens
In this paper we construct simultaneous confidence bands for a smooth curve using penalized spline estimators. We consider three types of estimation methods: (i) as a standard (fixed effect)...
Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior
Scheipl, Fabian, Kneib, Thomas
An implementation of locally adaptive penalized spline smoothing using a class of heavy-tailed shrinkage priors for the estimation of functional forms with highly varying curvature or discontinuities...