Prof. Dr. Thomas Kneib

 
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  • 2017 Journal Article | 
    ​ ​Markov-switching generalized additive models​
    Langrock, R. ; Kneib, T. ; Glennie, R. & Michelot, T.​ (2017) 
    Statistics and Computing27(1) pp. 259​-270​.​ DOI: https://doi.org/10.1007/s11222-015-9620-3 
    Details  DOI 
  • 2017 Journal Article
    ​ ​Predicting the occurrence of wildfires with binary structured additive regression models​
    Ríos-Pena, L.; Kneib, T. ; Cadarso-Suárez, C. & Marey-Pérez, M.​ (2017) 
    Journal of Environmental Management187 pp. 154​-165​.​ DOI: https://doi.org/10.1016/j.jenvman.2016.11.044 
    Details  DOI  PMID  PMC 
  • 2017 Journal Article
    ​ ​Structured additive distributional regression for analysing landings per unit effort in fisheries research​
    Mamouridis, V.; Klein, N. ; Kneib, T. ; Cadarso Suarez, C. & Maynou, F.​ (2017) 
    Mathematical Biosciences283 pp. 145​-154​.​ DOI: https://doi.org/10.1016/j.mbs.2016.11.016 
    Details  DOI  PMID  PMC 
  • 2016 Journal Article
    ​ ​Analysing farmland rental rates using Bayesian geoadditive quantile regression​
    März, A.; Klein, N. ; Kneib, T.   & Mußhoff, O. ​ (2016) 
    European Review of Agricultural Economics43(4) pp. 663​-698​.​ DOI: https://doi.org/10.1093/erae/jbv028 
    Details  DOI 
  • 2016 Journal Article
    ​ ​Source estimation for propagation processes on complex networks with an application to delays in public transportation systems​
    Manitz, J. ; Harbering, J. ; Schmidt, M.; Kneib, T.   & Schoebel, A. ​ (2016) 
    Journal of the Royal Statistical Society. Series C, Applied statistics66(3) pp. 521​-536​.​ DOI: https://doi.org/10.1111/rssc.12176 
    Details  DOI 
  • 2016 Journal Article | Research Paper
    ​ ​A Semiparametric Analysis of Conditional Income Distributions​
    Sohn, A. ; Klein, N.   & Kneib, T. ​ (2016) 
    Schmollers Jahrbuch135(1) pp. 13​-22​.​ DOI: https://doi.org/10.3790/schm.135.1.13 
    Details  DOI 
  • 2016 Journal Article | 
    ​ ​Impact of chronic hepatitis C on mortality in cirrhotic patients admitted to intensive-care unit​
    Álvaro-Meca, A.; Jiménez-Sousa, M. A.; Boyer, A.; Medrano, J.; Reulen, H.; Kneib, T.   & Resino, S.​ (2016) 
    BMC Infectious Diseases16(1) art. 122​.​ DOI: https://doi.org/10.1186/s12879-016-1448-8 
    Details  DOI 
  • 2016 Journal Article | 
    ​ ​Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011​
    Tahden, M.; Manitz, J. ; Baumgardt, K.; Fell, G.; Kneib, T.   & Hegasy, G.​ (2016) 
    PLOS ONE11(10) art. e0164508​.​ DOI: https://doi.org/10.1371/journal.pone.0164508 
    Details  DOI  PMID  PMC 
  • 2016 Journal Article
    ​ ​Structured fusion lasso penalized multi-state models​
    Sennhenn-Reulen, H.   & Kneib, T. ​ (2016) 
    Statistics in Medicine35(25) pp. 4637​-4659​.​ DOI: https://doi.org/10.1002/sim.7017 
    Details  DOI  PMID  PMC 
  • 2015 Journal Article
    ​ ​Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models​
    Michelot, T.; Langrock, R. ; Kneib, T.   & King, R.​ (2015) 
    Biometrical Journal58(1) pp. 222​-239​.​ DOI: https://doi.org/10.1002/bimj.201400222 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Bayesian structured additive distributional regression for multivariate responses​
    Klein, N. ; Kneib, T. ; Klasen, S.   & Lang, S.​ (2015) 
    Journal of the Royal Statistical Society. Series C, Applied statistics64(4) pp. 569​-591​.​ DOI: https://doi.org/10.1111/rssc.12090 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression​
    Waldmann, E.   & Kneib, T. ​ (2015) 
    Statistics and Computing25(6) pp. 1247​-1263​.​ DOI: https://doi.org/10.1007/s11222-014-9480-2 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Nonparametric inference in hidden Markov models using P-splines​
    Langrock, R. ; Kneib, T. ; Sohn, A.   & Ruiter, S. L. de​ (2015) 
    Biometrics71(2) pp. 520​-528​.​ DOI: https://doi.org/10.1111/biom.12282 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression​
    Klein, N.   & Kneib, T. ​ (2015) 
    Bayesian Analysis11(4) pp. 1071​-1106​.​ DOI: https://doi.org/10.1214/15-ba983 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Bayesian structured additive distributional regression with an application to regional income inequality in Germany​
    Klein, N. ; Kneib, T. ; Lang, S. & Sohn, A. ​ (2015) 
    The Annals of Applied Statistics9(2) pp. 1024​-1052​.​ DOI: https://doi.org/10.1214/15-aoas823 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach​
    Klein, N.   & Kneib, T. ​ (2015) 
    Statistics and Computing26(4) pp. 841​-860​.​ DOI: https://doi.org/10.1007/s11222-015-9573-6 
    Details  DOI 
  • 2015 Journal Article
    ​ ​BayesX: Analyzing Bayesian Structured Additive Regression Models​
    Brezger, A.; Kneib, T.   & Lang, S.​ (2015) 
    Journal of Statistical Software14(11).​ DOI: https://doi.org/10.18637/jss.v014.i11 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Boosting multi-state models​
    Reulen, H. & Kneib, T. ​ (2015) 
    Lifetime Data Analysis22(2) pp. 241​-262​.​ DOI: https://doi.org/10.1007/s10985-015-9329-9 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​Assessing opportunities for physical activity in the built environment of children: interrelation between kernel density and neighborhood scale​
    Buck, C.; Kneib, T. ; Tkaczick, T.; Konstabel, K. & Pigeot, I.​ (2015) 
    International Journal of Health Geographics14(1).​ DOI: https://doi.org/10.1186/s12942-015-0027-3 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​Structured Additive Regression Models: An R Interface to BayesX​
    Umlauf, N.; Adler, D.; Kneib, T. ; Lang, S. & Zeileis, A.​ (2015) 
    Journal of Statistical Software63(21) pp. 1​-46​.​ DOI: https://doi.org/10.18637/jss.v063.i21 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​Applying Binary Structured Additive Regression (STAR) for Predicting Wildfire in Galicia, Spain​
    Ríos-Pena, L.; Cadarso-Suárez, C.; Kneib, T.   & Pérez, M.​ (2015) 
    Procedia Environmental Sciences27 pp. 123​-126​.​ DOI: https://doi.org/10.1016/j.proenv.2015.07.121 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​First Nomogram Predicting the Probability of Lymph Node Involvement in Prostate Cancer Patients Undergoing Radioisotope Guided Sentinel Lymph Node Dissection​
    Winter, A.; Kneib, T. ; Rohde, M.; Henke, R.-P. & Wawroschek, F.​ (2015) 
    Urologia Internationalis95(4) pp. 422​-428​.​ DOI: https://doi.org/10.1159/000431182 
    Details  DOI  PMID  PMC 
  • 2014 Journal Article
    ​ ​Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape​
    Klein, N. ; Denuit, M.; Lang, S. & Kneib, T. ​ (2014) 
    Insurance: Mathematics and Economics55 pp. 225​-249​.​ DOI: https://doi.org/10.1016/j.insmatheco.2014.02.001 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Origin Detection During Food-borne Disease Outbreaks - A Case Study of the 2011 EHEC/HUS Outbreak in Germany​
    Manitz, J. ; Kneib, T. ; Schlather, M.; Helbing, D. & Brockmann, D.​ (2014) 
    PLoS Currents,.​ DOI: https://doi.org/10.1371/currents.outbreaks.f3fdeb08c5b9de7c09ed9cbcef5f01f2 
    Details  DOI  PMID  PMC 
  • 2014 Journal Article
    ​ ​Structured additive regression modeling of age of menarche and menopause in a breast cancer screening program​
    Duarte, E.; Sousa, B. de; Cadarso-Suarez, C.; Rodrigues, V. & Kneib, T. ​ (2014) 
    Biometrical Journal56(3) pp. 416​-427​.​ DOI: https://doi.org/10.1002/bimj.201200260 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures​
    Wiesenfarth, M. ; Hisgen, C. M.; Kneib, T.   & Cadarso-Suarez, C.​ (2014) 
    Journal of Business & Economic Statistics32(3) pp. 468​-482​.​ DOI: https://doi.org/10.1080/07350015.2014.907092 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Semiparametric stochastic volatility modelling using penalized splines​
    Langrock, R. ; Michelot, T.; Sohn, A.   & Kneib, T. ​ (2014) 
    Computational Statistics30(2) pp. 517​-537​.​ DOI: https://doi.org/10.1007/s00180-014-0547-5 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Bayesian accelerated failure time models based on penalized mixtures of Gaussians: regularization and variable selection​
    Konrath, S.; Fahrmeir, L. & Kneib, T. ​ (2014) 
    AStA Advances in Statistical Analysis99(3) pp. 259​-280​.​ DOI: https://doi.org/10.1007/s10182-014-0240-6 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data​
    Klein, N. ; Kneib, T.   & Lang, S.​ (2014) 
    Journal of the American Statistical Association110(509) pp. 405​-419​.​ DOI: https://doi.org/10.1080/01621459.2014.912955 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm​
    Rodríguez-Álvarez, M. X.; Lee, D.-J.; Kneib, T. ; Durbán, M. & Eilers, P.​ (2014) 
    Statistics and Computing25(5) pp. 941​-957​.​ DOI: https://doi.org/10.1007/s11222-014-9464-2 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Bayesian bivariate quantile regression​
    Waldmann, E.   & Kneib, T. ​ (2014) 
    Statistical Modelling15(4) pp. 326​-344​.​ DOI: https://doi.org/10.1177/1471082x14551247 
    Details  DOI 
  • 2014 Journal Article
    ​ ​A unified framework of constrained regression​
    Hofner, B.; Kneib, T.   & Hothorn, T.​ (2014) 
    Statistics and Computing26(1-2) pp. 1​-14​.​ DOI: https://doi.org/10.1007/s11222-014-9520-y 
    Details  DOI 
  • 2014 Journal Article | 
    ​ ​Spline-based procedures for dose-finding studies with active control​
    Helms, H.-J.; Benda, N.; Zinserling, J.; Kneib, T.   & Friede, T. ​ (2014) 
    Statistics in Medicine34(2) pp. 232​-248​.​ DOI: https://doi.org/10.1002/sim.6320 
    Details  DOI  PMID  PMC 
  • 2014 Journal Article | 
    ​ ​A Network-Based Kernel Machine Test for the Identification of Risk Pathways in Genome-Wide Association Studies​
    Freytag, S.; Manitz, J. ; Schlather, M.; Kneib, T. ; Amos, C. I.; Risch, A. & Chang-Claude, J. et al.​ (2014) 
    Human Heredity76(2) pp. 64​-75​.​ DOI: https://doi.org/10.1159/000357567 
    Details  DOI  PMID  PMC 
  • 2014 Journal Article
    ​ ​Sentinel lymph node dissection in more than 1200 prostate cancer cases: Rate and prediction of lymph node involvement depending on preoperative tumor characteristics​
    Winter, A.; Kneib, T. ; Henke, R.-P. & Wawroschek, F.​ (2014) 
    International Journal of Urology21(1) pp. 58​-63​.​ DOI: https://doi.org/10.1111/iju.12184 
    Details  DOI  PMID  PMC 
  • 2013 Journal Article
    ​ ​Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses​
    Hillmann, J.; Kneib, T. ; Koepcke, L.; Juárez Paz, L. M. & Kretzberg, J.​ (2013) 
    Biometrical Journal56(1) pp. 23​-43​.​ DOI: https://doi.org/10.1002/bimj.201200161 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Penalized likelihood and Bayesian function selection in regression models​
    Scheipl, F.; Kneib, T.   & Fahrmeir, L.​ (2013) 
    AStA Advances in Statistical Analysis97(4) pp. 349​-385​.​ DOI: https://doi.org/10.1007/s10182-013-0211-3 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Epidemiology of suicide in Spain, 1981–2008: A spatiotemporal analysis​
    Álvaro-Meca, A.; Kneib, T. ; Gil-Prieto, R. & Gil de Miguel, A.​ (2013) 
    Public Health127(4) pp. 380​-385​.​ DOI: https://doi.org/10.1016/j.puhe.2012.12.007 
    Details  DOI 
  • 2013 Book Chapter
    ​ ​Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression​
    Konrath, S.; Fahrmeir, L.& Kneib, T. ​ (2013)
    In:​Becker, Claudia; Fried, Roland; Kuhnt, Sonja​ (Eds.), Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather pp. 149​-170. ​Berlin, Heidelberg: ​Springer. DOI: https://doi.org/10.1007/978-3-642-35494-6_10 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression​
    Sobotka, F.; Radice, R.; Marra, G. & Kneib, T. ​ (2013) 
    Journal of the Royal Statistical Society. Series C, Applied statistics62(1) pp. 25​-45​.​ DOI: https://doi.org/10.1111/j.1467-9876.2012.01050.x 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Model building in nonproportional hazard regression​
    Rodríguez-Girondo, M.; Kneib, T. ; Cadarso-Suárez, C. & Abu-Assi, E.​ (2013) 
    Statistics in Medicine32(30) pp. 5301​-5314​.​ DOI: https://doi.org/10.1002/sim.5961 
    Details  DOI 
  • 2013 Book Chapter
    ​ ​Regression Models: Modelle, Methoden und Anwendungen​
    Fahrmeir, L.; Kneib, T. ; Lang, S.& Marx, B.​ (2013)
    In:​Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan​ (Eds.), Regression: Modelle, Methoden und Anwendungen pp. 21​-72. ​Berlin, Heidelberg: ​Springer. DOI: https://doi.org/10.1007/978-3-642-34333-9_2 
    Details  DOI 
  • 2013 Book Chapter
    ​ ​Bayesian Multilevel Models​
    Fahrmeir, L.; Kneib, T.  & Lang, S.​ (2013)
    In:​Scott, Marc A.; Simonoff, Jeffrey S.; Marx, Brian D.​ (Eds.), The SAGE Handbook of Multilevel Modeling pp. 53​-72. ​London: ​SAGE Publications Ltd. DOI: https://doi.org/10.4135/9781446247600.n4 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Conditional transformation models​
    Hothorn, T.; Kneib, T.   & Bühlmann, P.​ (2013) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology)76(1) pp. 3​-27​.​ DOI: https://doi.org/10.1111/rssb.12017 
    Details  DOI 
  • 2013 Journal Article | 
    ​ ​Bayesian semiparametric additive quantile regression​
    Yue, Y. R.; Lang, S.; Flexeder, C.; Waldmann, E.   & Kneib, T. ​ (2013) 
    Statistical Modelling13(3) pp. 223​-252​.​ DOI: https://doi.org/10.1177/1471082x13480650 
    Details  DOI 
  • 2013 Journal Article | 
    ​ ​A Novel Kernel for Correcting Size Bias in the Logistic Kernel Machine Test with an Application to Rheumatoid Arthritis​
    Freytag, S.; Bickeböller, H. ; Amos, C. I.; Kneib, T.   & Schlather, M.​ (2013) 
    Human Heredity74(2) pp. 97​-108​.​ DOI: https://doi.org/10.1159/000347188 
    Details  DOI  PMID  PMC 
  • 2012 Journal Article
    ​ ​Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models​
    Scheipl, F.; Fahrmeir, L. & Kneib, T. ​ (2012) 
    Journal of the American Statistical Association107(500) pp. 1518​-1532​.​ DOI: https://doi.org/10.1080/01621459.2012.737742 
    Details  DOI 
  • 2012 Journal Article
    ​ ​The effect of bark beetle infestation and salvage logging on bat activity in a national park​
    Mehr, M.; Brandl, R.; Kneib, T.   & Müller, J.​ (2012) 
    Biodiversity and Conservation21(11) pp. 2775​-2786​.​ DOI: https://doi.org/10.1007/s10531-012-0334-y 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Additive mixed models with Dirichlet process mixture and P-spline priors​
    Heinzl, F.; Fahrmeir, L. & Kneib, T. ​ (2012) 
    AStA Advances in Statistical Analysis96(1) pp. 47​-68​.​ DOI: https://doi.org/10.1007/s10182-011-0161-6 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Impact of comorbidities and surgery on health related transitions in pancreatic cancer admissions: A multi state model​
    Álvaro-Meca, A.; Kneib, T. ; Prieto, R. G. & Miguel, Á. G. de​ (2012) 
    Cancer Epidemiology36(2) pp. e142​-e146​.​ DOI: https://doi.org/10.1016/j.canep.2011.12.005 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Flexible Geoadditive Survival analysis of Non-Hodgkin Lymphoma in Peru​
    Flores, C.; Rodriguez-Girondo, M.; Cadarso-Suarez, C.; Kneib, T. ; Gomez, G. & Casanova, L.​ (2012) 
    SORT36 pp. 221​-230​.​
    Details 
  • 2012 Journal Article
    ​ ​Discussion on "Analysing visual receptive fields through generalised additive models with interactions" by Rodríguez-Álvarez, M. X., Cadarso-Suárez, C. and González, F.​
    Kneib, T. ​ (2012) 
    SORT - Statistics and Operations Research Transactions36 pp. 37​-38​.​
    Details 
  • 2012 Journal Article
    ​ ​Variable selection and model choice in structured survival models​
    Hofner, B.; Hothorn, T. & Kneib, T. ​ (2012) 
    Computational Statistics28(3) pp. 1079​-1101​.​ DOI: https://doi.org/10.1007/s00180-012-0337-x 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Multilevel structured additive regression​
    Lang, S.; Umlauf, N.; Wechselberger, P.; Harttgen, K.   & Kneib, T. ​ (2012) 
    Statistics and Computing24(2) pp. 223​-238​.​ DOI: https://doi.org/10.1007/s11222-012-9366-0 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Generalized additive models for location, scale and shape for high dimensional data-a flexible approach based on boosting​
    Mayr, A.; Fenske, N.; Hofner, B.; Kneib, T.   & Schmid, M.​ (2012) 
    Journal of the Royal Statistical Society. Series C, Applied statistics61(3) pp. 403​-427​.​ DOI: https://doi.org/10.1111/j.1467-9876.2011.01033.x 
    Details  DOI 
  • 2011 Book Chapter
    ​ ​A Space-Time Study on Forest Health​
    Kneib, T.  & Fahrmeir, L.​ (2011)
    In:​Chandler, R. E.; Scott, M.​ (Eds.), Statistical Methods for Trend Detection and Analysis in the Environmental Sciences. ​Wiley. DOI: https://doi.org/10.1002/9781119991571 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Building Cox-type structured hazard regression models with time-varying effects​
    Hofner, B.; Kneib, T. ; Hartl, W. & Küchenhoff, H.​ (2011) 
    Statistical Modelling11(1) pp. 3​-24​.​ DOI: https://doi.org/10.1177/1471082x1001100102 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Estimating habitat suitability and potential population size for brown bears in the Eastern Alps​
    Güthlin, D.; Knauer, F.; Kneib, T. ; Küchenhoff, H.; Kaczensky, P.; Rauer, G. & Jonozovič, M. et al.​ (2011) 
    Biological Conservation144(5) pp. 1733​-1741​.​ DOI: https://doi.org/10.1016/j.biocon.2011.03.010 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Differential decomposition of humic acids by marine and estuarine bacterial communities at varying salinities​
    Rocker, D.; Kisand, V.; Scholz-Böttcher, B.; Kneib, T. ; Lemke, A.; Rullkötter, J. & Simon, M.​ (2011) 
    Biogeochemistry111(1-3) pp. 331​-346​.​ DOI: https://doi.org/10.1007/s10533-011-9653-4 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression​
    Fenske, N.; Kneib, T.   & Hothorn, T.​ (2011) 
    Journal of the American Statistical Association106(494) pp. 494​-510​.​ DOI: https://doi.org/10.1198/jasa.2011.ap09272 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Categorical structured additive regression for assessing habitat suitability in the spatial distribution of mussel seed abundance​
    Pata, M. P.; Kneib, T. ; Cadarso-Suarez, C.; Lustres-Pérez, V. & Fernández-Pulpeiro, E.​ (2011) 
    Environmetrics23(1) pp. 75​-84​.​ DOI: https://doi.org/10.1002/env.1140 
    Details  DOI 
  • 2011 Monograph
    ​ ​Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data​ ​
    Fahrmeir, L.& Kneib, T. ​ (2011)
    Oxford University Press. DOI: https://doi.org/10.1093/acprof:oso/9780199533022.001.0001 
    Details  DOI 
  • 2011 Journal Article
    ​ ​A Framework for Unbiased Model Selection Based on Boosting​
    Hofner, B.; Hothorn, T.; Kneib, T.   & Schmid, M.​ (2011) 
    Journal of Computational and Graphical Statistics20(4) pp. 956​-971​.​ DOI: https://doi.org/10.1198/jcgs.2011.09220 
    Details  DOI 
  • 2011 Journal Article | 
    ​ ​On confidence intervals for semiparametric expectile regression​
    Sobotka, F.; Kauermann, G.; Schulze Waltrup, L. & Kneib, T. ​ (2011) 
    Statistics and Computing23(2) pp. 135​-148​.​ DOI: https://doi.org/10.1007/s11222-011-9297-1 
    Details  DOI 
  • 2010 Journal Article
    ​ ​High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance​
    Kneib, T. ; Konrath, S. & Fahrmeir, L.​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied statistics60(1) pp. 51​-70​.​ DOI: https://doi.org/10.1111/j.1467-9876.2010.00723.x 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Short-term influence of elevation of plasma homocysteine levels on cognitive function in young healthy adults​
    Alexopoulos, P.; Lehrl, S.; Richter-Schmidinger, T.; Kreusslein, A.; Hauenstein, T.; Bayerl, F. & Jung, P. et al.​ (2010) 
    The Journal of Nutrition, Health & Aging14(4) pp. 283​-287​.​ DOI: https://doi.org/10.1007/s12603-010-0062-5 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Validation of the German Revised Addenbrooke’s Cognitive Examination for Detecting Mild Cognitive Impairment, Mild Dementia in Alzheimer’s Disease and Frontotemporal Lobar Degeneration​
    Alexopoulos, P.; Ebert, A. ; Richter-Schmidinger, T.; Schöll, E.; Natale, B.; Aguilar, C. A. & Gourzis, P. et al.​ (2010) 
    Dementia and Geriatric Cognitive Disorders29(5) pp. 448​-456​.​ DOI: https://doi.org/10.1159/000312685 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Flexible hazard ratio curves for continuous predictors in multi-state models: an application to breast cancer data​
    Cadarso-Suarez, C.; Meira-Machado, L.; Kneib, T.   & Gude, F.​ (2010) 
    Statistical Modelling10(3) pp. 291​-314​.​ DOI: https://doi.org/10.1177/1471082x0801000303 
    Details  DOI 
  • 2010 Book Chapter
    ​ ​Semiparametric Regression​
    Kneib, T. ​ (2010)
    In:​Leidl, R.; Hartmann, Alexander K.​ (Eds.), Modern Comutational Science 2010. ​Oldenburg University Press.
    Details 
  • 2010 Journal Article
    ​ ​Decomposing environmental, spatial, and spatiotemporal components of species distributions​
    Hothorn, T.; Müller, J.; Schröder, B.; Kneib, T.   & Brandl, R.​ (2010) 
    Ecological Monographs81(2) pp. 329​-347​.​ DOI: https://doi.org/10.1890/10-0602.1 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Bayesian geoadditive sample selection models​
    Wiesenfarth, M.   & Kneib, T. ​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied statistics59(3) pp. 381​-404​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.00698.x 
    Details  DOI 
  • 2010 Book Chapter
    ​ ​Generalized Semiparametric Regression Models with Nonparametric Effects of Covariates Measured with Error​
    Kneib, T. ; Brezger, A.& Crainiceanu, C. M.​ (2010)
    In:​Kneib, Thomas; Tutz, Gerhard​ (Eds.), Statistical Modelling and Regression Structures - Festschrift in the Honour of Ludwig Fahrmeir. ​Berlin: ​Springer.
    Details 
  • 2010 Book Chapter
    ​ ​Exploratory Data Analysis​
    Kneib, T. ​ (2010)
    In:​Leidl, R.; Hartmann, Alexander K.​ (Eds.), Modern Comutational Science 2010. ​Oldenburg University Press.
    Details 
  • 2010 Journal Article
    ​ ​Influence of brain-derived neurotrophic-factor and apolipoprotein E genetic variants on hippocampal volume and memory performance in healthy young adults​
    Richter-Schmidinger, T.; Alexopoulos, P.; Horn, M.; Maus, S.; Reichel, M.; Rhein, C. & Lewczuk, P.  et al.​ (2010) 
    Journal of Neural Transmission118(2) pp. 249​-257​.​ DOI: https://doi.org/10.1007/s00702-010-0539-8 
    Details  DOI 
  • 2010 Journal Article
    ​ ​On the behaviour of marginal and conditional AIC in linear mixed models​
    Greven, S. & Kneib, T. ​ (2010) 
    Biometrika97(4) pp. 773​-789​.​ DOI: https://doi.org/10.1093/biomet/asq042 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Simultaneous Confidence Bands for Penalized Spline Estimators​
    Krivobokova, T. ; Kneib, T.   & Claeskens, G.​ (2010) 
    Journal of the American Statistical Association105(490) pp. 852​-863​.​ DOI: https://doi.org/10.1198/jasa.2010.tm09165 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Geoadditive expectile regression​
    Sobotka, F. & Kneib, T. ​ (2010) 
    Computational Statistics & Data Analysis56(4) pp. 755​-767​.​ DOI: https://doi.org/10.1016/j.csda.2010.11.015 
    Details  DOI 
  • 2010 Journal Article | 
    ​ ​Model-based Boosting 2.0​
    Hothorn, T.; Bühlmann, P.; Kneib, T. ; Schmid, M. & Hofner, B.​ (2010) 
    Journal of Machine Learning Reseach - Machine Learning Open Source Software11 pp. 2109​-2113​.​
    Details 
  • 2009 Journal Article
    ​ ​A general approach to the analysis of habitat selection​
    Kneib, T. ; Knauer, F. & Küchenhoff, H.​ (2009) 
    Environmental and Ecological Statistics18(1) pp. 1​-25​.​ DOI: https://doi.org/10.1007/s10651-009-0115-2 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior​
    Scheipl, F. & Kneib, T. ​ (2009) 
    Computational Statistics & Data Analysis53(10) pp. 3533​-3552​.​ DOI: https://doi.org/10.1016/j.csda.2009.03.009 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Nosocomial Infection, Length of Stay, and Time-Dependent Bias​
    Beyersmann, J.; Kneib, T. ; Schumacher, M. & Gastmeier, P.​ (2009) 
    Infection Control & Hospital Epidemiology30(3) pp. 273​-276​.​ DOI: https://doi.org/10.1086/596020 
    Details  DOI 
  • 2009 Journal Article
    ​ ​PLASMA HOMOCYSTEINE AND CEREBROSPINAL FLUID NEURODEGENERATION BIOMARKERS IN MILD COGNITIVE IMPAIRMENT AND DEMENTIA​
    Alexopoulos, P.; Günther, F.; Popp, J.; Jessen, F.; Peters, O.; Wolf, S. & Kneib, T.  et al.​ (2009) 
    Journal of the American Geriatrics Society57(4) pp. 737​-739​.​ DOI: https://doi.org/10.1111/j.1532-5415.2009.02212.x 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators​
    Bässler, C.; Müller, J.; Hothorn, T.; Kneib, T. ; Badeck, F. & Dziock, F.​ (2009) 
    Ecological Indicators10(2) pp. 341​-352​.​ DOI: https://doi.org/10.1016/j.ecolind.2009.06.014 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection​
    Fahrmeir, L.; Kneib, T.   & Konrath, S.​ (2009) 
    Statistics and Computing20(2) pp. 203​-219​.​ DOI: https://doi.org/10.1007/s11222-009-9158-3 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Discussion on "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations" by Rue, H., Martino, S. and Chopin, N​
    Fahrmeir, L. & Kneib, T. ​ (2009) 
    Journal of the Royal Statistical Society B: STATISTICAL METHODOLOGY71(2).​
    Details 
  • 2009 Book Chapter
    ​ ​Gemischte Modelle​
    Fahrmeir, L.; Kneib, T.  & Lang, S.​ (2009)
    In:​Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan​ (Eds.), Regression: Modelle, Methoden und Anwendungen pp. 253​-290. ​Berlin, Heidelberg: ​Springer. DOI: https://doi.org/10.1007/978-3-642-01837-4_6 
    Details  DOI 
  • 2009 Book Chapter
    ​ ​Exploratory Data Analysis​
    Kneib, T. ​ (2009)
    In:​Leidl, R.; Hartmann, Alexander K.​ (Eds.), Modern Comutational Science 2009. ​Oldenburg University Press.
    Details 
  • 2009 Journal Article
    ​ ​A new strategy to analyze possible association structures between dynamic nocturnal hormone activities and sleep alterations in humans​
    Kalus, S.; Kneib, T. ; Steiger, A.; Holsboer, F. & Yassouridis, A.​ (2009) 
    AJP: Regulatory, Integrative and Comparative Physiology296(4) pp. R1216​-R1227​.​ DOI: https://doi.org/10.1152/ajpregu.90530.2008 
    Details  DOI  PMID  PMC 
  • 2008 Journal Article
    ​ ​Bayesian semi parametric multi-state models​
    Kneib, T.   & Hennerfeind, A.​ (2008) 
    Statistical Modelling8(2) pp. 169​-198​.​ DOI: https://doi.org/10.1177/1471082x0800800203 
    Details  DOI 
  • 2008 Book Chapter
    ​ ​On the Identification of Trend and Correlation in Temporal and Spatial Regression​
    Fahrmeir, L.& Kneib, T. ​ (2008)
    In:​Heumann, Christian​ (Ed.), Recent Advances in Linear Models and Related Areas: Essays in Honour of Helge Toutenburg pp. 1​-27. ​Heidelberg: ​Physica-Verlag HD. DOI: https://doi.org/10.1007/978-3-7908-2064-5_1 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Saproxylic beetle assemblages related to silvicultural management intensity and stand structures in a beech forest in Southern Germany​
    Müller, J.; Bußler, H. & Kneib, T. ​ (2008) 
    Journal of Insect Conservation12(2) pp. 107​-124​.​ DOI: https://doi.org/10.1007/s10841-006-9065-2 
    Details  DOI 
  • 2008 Journal Article
    ​ ​ACTIVITY-GUIDED ANTITHROMBIN III THERAPY IN SEVERE SURGICAL SEPSIS​
    Moubarak, P.; Zilker, S.; Wolf, H.; Hofner, B.; Kneib, T. ; Küchenhoff, H. & Jauch, K.-W. et al.​ (2008) 
    Shock30(6) pp. 634​-641​.​ DOI: https://doi.org/10.1097/shk.0b013e31817d3e14 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Propriety of posteriors in structured additive regression models: Theory and empirical evidence​
    Fahrmeir, L. & Kneib, T. ​ (2008) 
    Journal of Statistical Planning and Inference139(3) pp. 843​-859​.​ DOI: https://doi.org/10.1016/j.jspi.2008.05.036 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Variable Selection and Model Choice in Geoadditive Regression Models​
    Kneib, T. ; Hothorn, T. & Tutz, G.​ (2008) 
    Biometrics65(2) pp. 626​-634​.​ DOI: https://doi.org/10.1111/j.1541-0420.2008.01112.x 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Spatial smoothing techniques for the assessment of habitat suitability​
    Kneib, T. ; Müller, J. & Hothorn, T.​ (2008) 
    Environmental and Ecological Statistics15(3) pp. 343​-364​.​ DOI: https://doi.org/10.1007/s10651-008-0092-x 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Use of Penalized Splines in Extended Cox-Type Additive Hazard Regression to Flexibly Estimate the Effect of Time-varying Serum Uric Acid on Risk of Cancer Incidence: A Prospective, Population-Based Study in 78,850 Men​
    Strasak, A. M.; Lang, S.; Kneib, T. ; Brant, L. J.; Klenk, J.; Hilbe, W. & Oberaigner, W. et al.​ (2008) 
    Annals of Epidemiology19(1) pp. 15​-24​.​ DOI: https://doi.org/10.1016/j.annepidem.2008.08.009 
    Details  DOI 
  • 2008 Journal Article | 
    ​ ​Conditional Variable Importance for Random Forests​
    Strobl, C.; Boulesteix, A.-L.; Kneib, T. ; Augustin, T. & Zeileis, A.​ (2008) 
    BMC Bioinformatics9(1) art. 307​.​ DOI: https://doi.org/10.1186/1471-2105-9-307 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Analysis of the individual and aggregate genetic contributions of previously identified serine peptidase inhibitor Kazal type 5 (SPINK5), kallikrein-related peptidase 7 (KLK7), and filaggrin (FLG) polymorphisms to eczema risk​
    Weidinger, S.; Baurecht, H.; Wagenpfeil, S.; Henderson, J.; Novak, N.; Sandilands, A. & Chen, H. et al.​ (2008) 
    Journal of Allergy and Clinical Immunology122(3) pp. 560​-568​.​ DOI: https://doi.org/10.1016/j.jaci.2008.05.050 
    Details  DOI  PMID  PMC 
  • 2007 Report
    ​ ​BayesX - Bayesian inference in structured additive regression​
    Kneib, T. ; Belitz, C.; Brezger, A.& Lang, S.​ (2007)
    Details 
  • 2007 Journal Article
    ​ ​Semiparametric multinomial logit models for analysing consumer choice behaviour​
    Kneib, T. ; Baumgartner, B. & Steiner, W. J.​ (2007) 
    AStA Advances in Statistical Analysis91(3) pp. 225​-244​.​ DOI: https://doi.org/10.1007/s10182-007-0033-2 
    Details  DOI 
  • 2007 Journal Article
    ​ ​Introduction to the Special Volume on "Ecology and Ecological Modelling in R"​
    Kneib, T.   & Petzoldt, T.​ (2007) 
    Journal of Statistical Software22(1).​ DOI: https://doi.org/10.18637/jss.v022.i01 
    Details  DOI 
  • 2006 Journal Article
    ​ ​Mixed model-based inference in geoadditive hazard regression for interval-censored survival times​
    Kneib, T. ​ (2006) 
    Computational Statistics & Data Analysis51(2) pp. 777​-792​.​ DOI: https://doi.org/10.1016/j.csda.2006.06.019 
    Details  DOI 
  • 2006 Journal Article
    ​ ​Structured Additive Regression for Categorical Space-Time Data: A Mixed Model Approach​
    Kneib, T.   & Fahrmeir, L.​ (2006) 
    Biometrics62(1) pp. 109​-118​.​ DOI: https://doi.org/10.1111/j.1541-0420.2005.00392.x 
    Details  DOI 
  • 2006 Journal Article
    ​ ​A Mixed Model Approach for Geoadditive Hazard Regression​
    Kneib, T.   & Fahrmeir, L.​ (2006) 
    Scandinavian Journal of Statistics34(1) pp. 207​-228​.​ DOI: https://doi.org/10.1111/j.1467-9469.2006.00524.x 
    Details  DOI 
  • 2004 Report
    ​ ​Bayesian semiparametric regression based on mixed model methodology: A tutorial​
    Kneib, T. ; Lang, S.& Brezger, A.​ (2004)
    Details 
  • 2004 Journal Article
    ​ ​Penalized structured additive regression for space-time data: a Bayesian perspective​
    Fahrmeir, L.; Kneib, T.   & Lang, S.​ (2004) 
    Statistica Sinica14 pp. 731​-761​.​
    Details 
  • 2004 Working Paper
    ​ ​Bayesian semiparametric regression based on MCMC techniques: A tutorial​
    Kneib, T. ; Lang, S.& Brezger, A.​ (2004)
    Department of Statistics, University of Munich.
    Details 

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