Thomas Kneib
Thomas Kneib
Verified email at
Cited by
Cited by
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
H Rue, S Martino, N Chopin
Journal of the royal statistical society: Series b (statistical methodology …, 2009
Conditional variable importance for random forests
C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis
BMC bioinformatics 9 (1), 307, 2008
L Fahrmeir, T Kneib, S Lang, B Marx
Springer-Verlag Berlin Heidelberg, 2007
Regression models
L Fahrmeir, T Kneib, S Lang, B Marx
Regression, 21-72, 2013
Penalized structured additive regression for space-time data: a Bayesian perspective
L Fahrmeir, T Kneib, S Lang
Statistica Sinica, 731-761, 2004
On the behaviour of marginal and conditional AIC in linear mixed models
S Greven, T Kneib
Biometrika 97 (4), 773-789, 2010
BayesX-Software for Bayesian inference in structured additive regression models
C Belitz, A Brezger, T Kneib, S Lang, N Umlauf
Version 2 (1), 2009
BayesX: Analysing Bayesian structured additive regression models
A Brezger, T Kneib, S Lang
Discussion paper//Sonderforschungsbereich 386 der Ludwig-Maximilians …, 2003
mboost: Model-based boosting
T Hothorn, P Buehlmann, T Kneib, M Schmid, B Hofner
R package version, 2.1-2, 2012
Model-based boosting 2.0
T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner
Journal of Machine Learning Research 11, 2109-2113, 2010
Identifying risk factors for severe childhood malnutrition by boosting additive quantile regression
N Fenske, T Kneib, T Hothorn
Journal of the American Statistical Association 106 (494), 494-510, 2011
Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting
A Mayr, N Fenske, B Hofner, T Kneib, M Schmid
Journal of the Royal Statistical Society: Series C (Applied Statistics) 61 …, 2012
Variable selection and model choice in geoadditive regression models
T Kneib, T Hothorn, G Tutz
Biometrics 65 (2), 626-634, 2009
Saproxylic beetle assemblages related to silvicultural management intensity and stand structures in a beech forest in Southern Germany
J Müller, H Bußler, T Kneib
Journal of Insect Conservation 12 (2), 107, 2008
A mixed model approach for geoadditive hazard regression
T Kneib, L Fahrmeir
Scandinavian Journal of Statistics 34 (1), 207-228, 2007
Structured additive regression for categorical space–time data: A mixed model approach
T Kneib, L Fahrmeir
Biometrics 62 (1), 109-118, 2006
Bayesian smoothing and regression for longitudinal, spatial and event history data
L Fahrmeir, T Kneib
OUP Catalogue, 2011
Simultaneous confidence bands for penalized spline estimators
T Krivobokova, T Kneib, G Claeskens
Journal of the American Statistical Association 105 (490), 852-863, 2010
Influence of brain-derived neurotrophic-factor and apolipoprotein E genetic variants on hippocampal volume and memory performance in healthy young adults
T Richter-Schmidinger, P Alexopoulos, M Horn, S Maus, M Reichel, ...
Journal of neural transmission 118 (2), 249-257, 2011
Structured additive regression models: An R interface to BayesX
N Umlauf, D Adler, T Kneib, S Lang, A Zeileis
Working Papers in Economics and Statistics, 2012
The system can't perform the operation now. Try again later.
Articles 1–20