| Conditional variable importance for random forests C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis BMC bioinformatics 9, 1-11, 2008 | 3605 | 2008 |
| Regressionsmodelle L Fahrmeir, T Kneib, S Lang Regression: Modelle, Methoden und Anwendungen, 19-58, 2007 | 2628* | 2007 |
| Penalized structured additive regression for space-time data: a Bayesian perspective L Fahrmeir, T Kneib, S Lang Statistica Sinica, 731-761, 2004 | 528 | 2004 |
| On the behaviour of marginal and conditional AIC in linear mixed models S Greven, T Kneib Biometrika 97 (4), 773-789, 2010 | 344 | 2010 |
| 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 | 304* | 2012 |
| Bayes X. Software for Bayesian inference based on Markov Chain Monte Carlo simulation techniques A Brezger, T Kneib, S Lang J Stat Software 14, 11, 2005 | 278* | 2005 |
| mboost: Model-based boosting T Hothorn, P Buehlmann, T Kneib, M Schmid, B Hofner R package version 2, 9-1, 2012 | 250 | 2012 |
| Model-based boosting 2.0 T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner | 221 | 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 (3 …, 2012 | 210 | 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 | 190 | 2011 |
| Beyond mean regression T Kneib Statistical Modelling 13 (4), 275-303, 2013 | 181 | 2013 |
| 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, 107-124, 2008 | 174 | 2008 |
| Variable selection and model choice in geoadditive regression models T Kneib, T Hothorn, G Tutz Biometrics 65 (2), 626-634, 2009 | 171 | 2009 |
| Spike-and-slab priors for function selection in structured additive regression models F Scheipl, L Fahrmeir, T Kneib Journal of the American Statistical Association 107 (500), 1518-1532, 2012 | 169 | 2012 |
| Expectile and quantile regression—David and Goliath? LS Waltrup, F Sobotka, T Kneib, G Kauermann Statistical Modelling 15 (5), 433-456, 2015 | 165 | 2015 |
| Structured additive regression models: An R interface to BayesX N Umlauf, D Adler, T Kneib, S Lang, A Zeileis Journal of Statistical Software 63, 1-46, 2015 | 165 | 2015 |
| Bayesian structured additive distributional regression with an application to regional income inequality in Germany N Klein, T Kneib, S Lang, A Sohn | 163 | 2015 |
| Bayesian smoothing and regression for longitudinal, spatial and event history data L Fahrmeir, T Kneib Oxford University Press, 2011 | 159 | 2011 |
| Geoadditive expectile regression F Sobotka, T Kneib Computational Statistics & Data Analysis 56 (4), 755-767, 2012 | 156 | 2012 |
| Simultaneous confidence bands for penalized spline estimators T Krivobokova, T Kneib, G Claeskens Journal of the American Statistical Association 105 (490), 852-863, 2010 | 151 | 2010 |
