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Conditional variable importance for random forests

- C. Strobl, A. Boulesteix, T. Kneib, Thomas Augustin, A. Zeileis
- Computer Science, Medicine
- BMC Bioinformatics
- 11 July 2008

TLDR

Regression: Models, Methods and Applications

- L. Fahrmeir, T. Kneib, S. Lang, B. Marx
- Computer Science
- 23 May 2013

TLDR

PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE

- L. Fahrmeir, T. Kneib, S. Lang
- Mathematics
- 2004

We propose extensions of penalized spline generalized additive models for analyzing space-time regression data and study them from a Bayesian per- spective. Non-linear effects of continuous… Expand

On the behaviour of marginal and conditional AIC in linear mixed models

In linear mixed models, model selection frequently includes the selection of random effects. Two versions of the Akaike information criterion, aic , have been used, based either on the marginal or on… Expand

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

- N. Fenske, T. Kneib, T. Hothorn
- Mathematics
- 1 June 2011

We investigated the risk factors for childhood malnutrition in India based on the 2005/2006 Demographic and Health Survey by applying a novel estimation technique for additive quantile regression.… Expand

BayesX: Analyzing Bayesian Structural Additive Regression Models

- Andreas Brezger, T. Kneib, S. Lang
- Mathematics
- 9 September 2005

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… Expand

Mixed model based inference in structured additive regression

- T. Kneib
- Computer Science
- 22 February 2006

TLDR

Model-based Boosting 2.0

- T. Hothorn, P. Bühlmann, T. Kneib, M. Schmid, B. Hofner
- Computer Science
- J. Mach. Learn. Res.
- 1 March 2010

We describe version 2.0 of the R add-on package mboost. The package implements boosting for optimizing general risk functions using component-wise (penalized) least squares estimates or regression… Expand

A Mixed Model Approach for Geoadditive Hazard Regression

- T. Kneib, L. Fahrmeir
- Mathematics
- 1 March 2007

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… Expand

Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models

- F. Scheipl, L. Fahrmeir, T. Kneib
- Mathematics
- 26 May 2011

Structured additive regression (STAR) provides a general framework for complex Gaussian and non-Gaussian regression models, with predictors comprising arbitrary combinations of nonlinear functions… Expand

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