Thomas Kneib
Thomas Kneib
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Conditional variable importance for random forests
C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis
BMC bioinformatics 9 (1), 1-11, 2008
L Fahrmeir, T Kneib, S Lang
Regression: Modelle, Methoden und Anwendungen, 19-58, 2007
Penalized structured additive regression for space-time data: a Bayesian perspective
L Fahrmeir, T Kneib, S Lang
Statistica Sinica, 731-761, 2004
mboost: Model-based boosting
T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner
R package version 2, 9-1, 2012
Software for Bayesian Inference in Structured Additive Regression Models
C Belitz, A Brezger, T Kneib, S Lang, EM Fronk, F Heinzl, A Hennerfeind, ...
Version, 2012
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 based on Markov chain Monte Carlo simulation techniques
A Brezger, T Kneib, S Lang
J Stat Software 14, 11, 2005
Model-based boosting 2.0
T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner
The Journal of Machine Learning Research 11, 2109-2113, 2010
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
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
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), 107-124, 2008
Variable selection and model choice in geoadditive regression models
T Kneib, T Hothorn, G Tutz
Biometrics 65 (2), 626-634, 2009
Bayesian smoothing and regression for longitudinal, spatial and event history data
L Fahrmeir, T Kneib
OUP Catalogue, 2011
Structured additive regression for categorical space–time data: A mixed model approach
T Kneib, L Fahrmeir
Biometrics 62 (1), 109-118, 2006
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
A mixed model approach for geoadditive hazard regression
T Kneib, L Fahrmeir
Scandinavian Journal of Statistics 34 (1), 207-228, 2007
Simultaneous confidence bands for penalized spline estimators
T Krivobokova, T Kneib, G Claeskens
Journal of the American Statistical Association 105 (490), 852-863, 2010
Bayesian structured additive distributional regression with an application to regional income inequality in Germany
N Klein, T Kneib, S Lang, A Sohn
The Annals of Applied Statistics 9 (2), 1024-1052, 2015
Geoadditive expectile regression
F Sobotka, T Kneib
Computational Statistics & Data Analysis 56 (4), 755-767, 2012
Beyond mean regression
T Kneib
Statistical Modelling 13 (4), 275-303, 2013
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