| Conditional variable importance for random forests C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis BMC bioinformatics 9, 1-11, 2008 | 2854 | 2008 |
| Regressionsmodelle L Fahrmeir, T Kneib, S Lang Regression: Modelle, Methoden und Anwendungen, 19-58, 2007 | 2089* | 2007 |
| Penalized structured additive regression for space-time data: a Bayesian perspective L Fahrmeir, T Kneib, S Lang Statistica Sinica, 731-761, 2004 | 475 | 2004 |
| mboost: Model-based boosting T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner R package version 2, 9-1, 2012 | 295 | 2012 |
| On the behaviour of marginal and conditional AIC in linear mixed models S Greven, T Kneib Biometrika 97 (4), 773-789, 2010 | 291 | 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 | 283* | 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 | 254* | 2005 |
| Model-based boosting 2.0 T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner | 193 | 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 | 179 | 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 | 171 | 2011 |
| Variable selection and model choice in geoadditive regression models T Kneib, T Hothorn, G Tutz Biometrics 65 (2), 626-634, 2009 | 151 | 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, 107-124, 2008 | 150 | 2008 |
| 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 | 149 | 2012 |
| Bayesian smoothing and regression for longitudinal, spatial and event history data L Fahrmeir, T Kneib | 143 | 2011 |
| A mixed model approach for geoadditive hazard regression T Kneib, L Fahrmeir Scandinavian Journal of Statistics 34 (1), 207-228, 2007 | 142 | 2007 |
| Bayesian structured additive distributional regression with an application to regional income inequality in Germany N Klein, T Kneib, S Lang, A Sohn | 136 | 2015 |
| Structured additive regression for multicategorical space-time data: A mixed model approach T Kneib, L Fahrmeir Corrado Lagazio, Marco Marchi (Eds), 164, 2004 | 135 | 2004 |
| Simultaneous confidence bands for penalized spline estimators T Krivobokova, T Kneib, G Claeskens Journal of the American Statistical Association 105 (490), 852-863, 2010 | 132 | 2010 |
| Beyond mean regression T Kneib Statistical Modelling 13 (4), 275-303, 2013 | 128 | 2013 |
| Geoadditive expectile regression F Sobotka, T Kneib Computational Statistics & Data Analysis 56 (4), 755-767, 2012 | 127 | 2012 |
