Prof. Dr. Thomas Kneib

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  • 2019 | Journal Article
    ​ ​Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios​
    Klein, N. ; Entwistle, A.; Rosenberger, A. ; Kneib, T.   & Bickeböller, H. ​ (2019) 
    Journal of Applied Statistics, pp. 1​-15​.​ DOI: https://doi.org/10.1080/02664763.2019.1704226 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​LASSO-type penalization in the framework of generalized additive models for location, scale and shape​
    Groll, A.; Hambuckers, J.; Kneib, T.   & Umlauf, N.​ (2019) 
    Computational Statistics & Data Analysis, 140 pp. 59​-73​.​ DOI: https://doi.org/10.1016/j.csda.2019.06.005 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Multivariate effect priors in bivariate semiparametric recursive Gaussian models​
    Thaden, H.; Klein, N. & Kneib, T. ​ (2019) 
    Computational Statistics & Data Analysis, 137 pp. 51​-66​.​ DOI: https://doi.org/10.1016/j.csda.2018.12.004 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions​
    Kneib, T. ; Klein, N.; Lang, S. & Umlauf, N.​ (2019) 
    Test: an official journal of the Spanish Society of Statistics and Operations Research, 28(1) pp. 1​-39​.​ DOI: https://doi.org/10.1007/s11749-019-00631-z 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Rejoinder on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions​
    Kneib, T. ; Klein, N.; Lang, S. & Umlauf, N.​ (2019) 
    Test: an official journal of the Spanish Society of Statistics and Operations Research, 28(1) pp. 55​-59​.​ DOI: https://doi.org/10.1007/s11749-019-00636-8 
    ​Details  DOI 
  • 2019 | Journal Article | Erratum
    ​ ​Correction to: On the behaviour of marginal and conditional AIC in linear mixed models​
    Greven, S. & Kneib, T. ​ (2019) 
    Biometrika, art. asz051​.​ DOI: https://doi.org/10.1093/biomet/asz051 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​A trivariate additive regression model with arbitrary link functions and varying correlation matrix​
    Filippou, P.; Kneib, T. ; Marra, G. & Radice, R.​ (2019) 
    Journal of Statistical Planning and Inference, 199 pp. 236​-248​.​ DOI: https://doi.org/10.1016/j.jspi.2018.07.002 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Directional bivariate quantiles: a robust approach based on the cumulative distribution function​
    Klein, N. & Kneib, T. ​ (2019) 
    Advances in Statistical Analysis,.​ DOI: https://doi.org/10.1007/s10182-019-00355-3 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Bayesian measurement error correction in structured additive distributional regression with an application to the analysis of sensor data on soil–plant variability​
    Pollice, A.; Jona Lasinio, G.; Rossi, R.; Amato, M.; Kneib, T.   & Lang, S.​ (2019) 
    Stochastic Environmental Research and Risk Assessment, 33(3) pp. 747​-763​.​ DOI: https://doi.org/10.1007/s00477-019-01667-1 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Adaptive semiparametric M-quantile regression​
    Otto-Sobotka, F.; Salvati, N.; Ranalli, M. G. & Kneib, T. ​ (2019) 
    Econometrics and Statistics, 11 pp. 116​-129​.​ DOI: https://doi.org/10.1016/j.ecosta.2019.03.001 
    ​Details  DOI 
  • 2019 | Journal Article | 
    ​ ​Rocks rock: the importance of rock formations as resting sites of the Eurasian lynx Lynx lynx​
    Signer, J. ; Filla, M.; Schoneberg, S.; Kneib, T. ; Bufka, L.; Belotti, E. & Heurich, M.​ (2019) 
    Wildlife Biology, 2019(1).​ DOI: https://doi.org/10.2981/wlb.00489 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Reducing Fertilizer and Avoiding Herbicides in Oil Palm Plantations - Ecological and Economic Valuations​
    Darras, K. F. A. ; Corre, M. D. ; Formaglio, G.; Tjoa, A.; Potapov, A. ; Brambach, F.   & Sibhatu, K. T.  et al.​ (2019) 
    Frontiers in Forests and Global Change, 2.​ DOI: https://doi.org/10.3389/ffgc.2019.00065 
    ​Details  DOI 
  • 2019 | Journal Article | 
    ​ ​Conditional covariance penalties for mixed models​
    Säfken, B. & Kneib, T. ​ (2019) 
    Scandinavian Journal of Statistics, 47(3) pp. 990​-1010​.​ DOI: https://doi.org/10.1111/sjos.12437 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Assessing the relationship between markers of glycemic control through flexible copula regression models​
    Espasandín-Domínguez, J.; Cadarso-Suárez, C.; Kneib, T. ; Marra, G.; Klein, N.; Radice, R. & Lado-Baleato, O. et al.​ (2019) 
    Statistics in Medicine, 38(27) pp. 5161​-5181​.​ DOI: https://doi.org/10.1002/sim.8358 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article
    ​ ​Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions​
    Martini, J. W R; Rosales, F.; Ha, N.-T.; Heise, J.; Wimmer, V. & Kneib, T. ​ (2019) 
    G3: Genes, Genomes, Genetics, 9(4) pp. 1117​-1129​.​ DOI: https://doi.org/10.1534/g3.118.200961 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article
    ​ ​Mixed binary-continuous copula regression models with application to adverse birth outcomes​
    Klein, N. ; Kneib, T. ; Marra, G.; Radice, R.; Rokicki, S. & McGovern, M. E.​ (2019) 
    Statistics in Medicine, 38(3) pp. 413​-436​.​ DOI: https://doi.org/10.1002/sim.7985 
    ​Details  DOI  PMID  PMC 
  • 2018 | Journal Article
    ​ ​A primer on Bayesian distributional regression​
    Umlauf, N. & Kneib, T. ​ (2018) 
    Statistical Modelling, 18(3-4) pp. 219​-247​.​ DOI: https://doi.org/10.1177/1471082X18759140 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Understanding the economic determinants of the severity of operational losses: A regularized generalized Pareto regression approach​
    Hambuckers, J.; Groll, A. & Kneib, T. ​ (2018) 
    Journal of Applied Econometrics, 33(6) pp. 898​-935​.​ DOI: https://doi.org/10.1002/jae.2638 
    ​Details  DOI 
  • 2018 | Journal Article | Editorial Contribution (Editorial, Introduction, Epilogue)
    ​ ​Editorial 'Bridging the gap between methodology and applications: Tutorials on semiparametric regression'​
    Groll, A.; Kneib, T.   & Mayr, A.​ (2018) 
    Statistical Modelling, 18(3-4) pp. 199​-202​.​ DOI: https://doi.org/10.1177/1471082X18761252 
    ​Details  DOI 
  • 2018 | Journal Article | Editorial Contribution (Editorial, Introduction, Epilogue)
    ​ ​Editorial: Special issue on quantile regression and semiparametric methods​
    He, X.; Kneib, T. ; Lamarche, C. & Wang, L.​ (2018) 
    Econometrics and Statistics, 8 pp. 1​-2​.​ DOI: https://doi.org/10.1016/j.ecosta.2018.09.002 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​On the dependency of soccer scores – a sparse bivariate Poisson model for the UEFA European football championship 2016​
    Groll, A.; Kneib, T. ; Mayr, A. & Schauberger, G.​ (2018) 
    Journal of Quantitative Analysis in Sports, 14(2) pp. 65​-79​.​ DOI: https://doi.org/10.1515/jqas-2017-0067 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression​
    Ríos-Pena, L.; Kneib, T. ; Cadarso-Suárez, C.; Klein, N. & Marey-Pérez, M.​ (2018) 
    Environmental Modelling & Software, 110 pp. 107​-118​.​ DOI: https://doi.org/10.1016/j.envsoft.2018.03.008 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Bayesian Multivariate Distributional Regression With Skewed Responses and Skewed Random Effects​
    Michaelis, P.; Klein, N. & Kneib, T. ​ (2018) 
    Journal of Computational and Graphical Statistics, 27(3) pp. 602​-611​.​ DOI: https://doi.org/10.1080/10618600.2017.1395343 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data​
    Baumgartner, B.; Guhl, D.; Kneib, T.   & Steiner, W. J.​ (2018) 
    OR Spectrum, 40(4) pp. 837​-873​.​ DOI: https://doi.org/10.1007/s00291-018-0530-6 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Structural Equation Models for Dealing With Spatial Confounding​
    Thaden, H. & Kneib, T. ​ (2018) 
    The American Statistician, 72(3) pp. 239​-252​.​ DOI: https://doi.org/10.1080/00031305.2017.1305290 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​A Markov-switching generalized additive model for compound Poisson processes, with applications to operational loss models​
    Hambuckers, J.; Kneib, T. ; Langrock, R. & Silbersdorff, A. ​ (2018) 
    Quantitative Finance, 18(10) pp. 1679​-1698​.​ DOI: https://doi.org/10.1080/14697688.2017.1417625 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Estimating time-varying parameters in brand choice models: A semiparametric approach​
    Guhl, D.; Baumgartner, B.; Kneib, T.   & Steiner, W. J.​ (2018) 
    International Journal of Research in Marketing, 35(3) pp. 394​-414​.​ DOI: https://doi.org/10.1016/j.ijresmar.2018.03.003 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Geographical differences in blood potassium detected using a structured additive distributional regression model​
    Espasandín-Domínguez, J.; Benítez-Estévez, A. J.; Cadarso-Suárez, C.; Kneib, T. ; Barreiro-Martínez, T.; Casas-Méndez, B. & Gude, F.​ (2018) 
    Spatial Statistics, 24 pp. 1​-13​.​ DOI: https://doi.org/10.1016/j.spasta.2018.03.001 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​Vulnerability to poverty revisited: Flexible modeling and better predictive performance​
    Hohberg, M. ; Landau, K.; Kneib, T. ; Klasen, S.   & Zucchini, W. ​ (2018) 
    The Journal of Economic Inequality, pp. 1​-16​.​ DOI: https://doi.org/10.1007/s10888-017-9374-6 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Reconsidering the income-health relationship using distributional regression​
    Silbersdorff, A. ; Lynch, J.; Klasen, S. & Kneib, T. ​ (2018) 
    Health Economics, 27(7) pp. 1074​-1088​.​ DOI: https://doi.org/10.1002/hec.3656 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article
    ​ ​Generalized additive models with flexible response functions​
    Spiegel, E.; Kneib, T.   & Otto-Sobotka, F.​ (2017) 
    Statistics and Computing, 29(1) pp. 123​-138​.​ DOI: https://doi.org/10.1007/s11222-017-9799-6 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels​
    Thaden, H. ; Pata, M. P.; Klein, N. ; Cadarso-Suárez, C. & Kneib, T. ​ (2017) 
    Spatial Statistics, 22 pp. 419​-433​.​ DOI: https://doi.org/10.1016/j.spasta.2017.07.005 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Exploring risk factors in breast cancer screening program data using structured geoadditive models with high order interaction​
    Duarte, E.; de Sousa, B.; Cadarso-Suárez, C.; Kneib, T.   & Rodrigues, V.​ (2017) 
    Spatial Statistics, 22 pp. 403​-418​.​ DOI: https://doi.org/10.1016/j.spasta.2017.07.004 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Comparing canopy leaf temperature of three Central European tree species based on simultaneous confidence bands for penalized splines​
    Vonrüti, M.; Spasojevic, A.; Nölke, N. ; Kneib, T.   & Kleinn, C. ​ (2017) 
    Environmental and Ecological Statistics, 24(3) pp. 385​-398​.​ DOI: https://doi.org/10.1007/s10651-017-0375-1 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Bayesian regularisation in geoadditive expectile regression​
    Waldmann, E. ; Sobotka, F. & Kneib, T. ​ (2017) 
    Statistics and Computing, 27(6) pp. 1539​-1553​.​ DOI: https://doi.org/10.1007/s11222-016-9703-9 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​A penalized spline estimator for fixed effects panel data models​
    Pütz, P. & Kneib, T. ​ (2017) 
    Advances in Statistical Analysis, 102(2) pp. 145​-166​.​ DOI: https://doi.org/10.1007/s10182-017-0296-1 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​Model selection in semiparametric expectile regression​
    Spiegel, E. ; Sobotka, F. & Kneib, T. ​ (2017) 
    Electronic Journal of Statistics, 11(2) pp. 3008​-3038​.​ DOI: https://doi.org/10.1214/17-EJS1307 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​The effect of income on democracy revisited a flexible distributional approach​
    Idzalika, R.; Kneib, T.   & Martinez-Zarzoso, I.​ (2017) 
    Empirical Economics, 56(4) pp. 1207​-1230​.​ DOI: https://doi.org/10.1007/s00181-017-1390-7 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​Markov-switching generalized additive models​
    Langrock, R. ; Kneib, T. ; Glennie, R. & Michelot, T.​ (2017) 
    Statistics and Computing, 27(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 Management, 187 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 Biosciences, 283 pp. 145​-154​.​ DOI: https://doi.org/10.1016/j.mbs.2016.11.016 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article
    ​ ​Boosting joint models for longitudinal and time-to-event data​
    Taylor-Robinson, D.; Pressler, T.; Schmid, M.; Mayr, A.; Waldmann, E. ; Klein, N.   & Kneib, T. ​ (2017) 
    Biometrical Journal, 59(6) pp. 1104-1121​-1121​.​ DOI: https://doi.org/10.1002/bimj.201600158 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article | 
    ​ ​Updated Nomogram Incorporating Percentage of Positive Cores to Predict Probability of Lymph Node Invasion in Prostate Cancer Patients Undergoing Sentinel Lymph Node Dissection​
    Winter, A.; Kneib, T. ; Wasylow, C.; Reinhardt, L.; Henke, R.-P.; Engels, S. & Gerullis, H. et al.​ (2017) 
    Journal of Cancer, 8(14) pp. 2692​-2698​.​ DOI: https://doi.org/10.7150/jca.20409 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article | 
    ​ ​Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies​
    Friedrichs, S. ; Manitz, J. ; Burger, P.; Amos, C. I.; Risch, A.; Chang-Claude, J. & Wichmann, H.-E. et al.​ (2017) 
    Computational and mathematical methods in medicine, 2017 pp. 6742763​-17​.​ DOI: https://doi.org/10.1155/2017/6742763 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article | Editorial Contribution (Editorial, Introduction, Epilogue)
    ​ ​Editorial "Joint modeling of longitudinal and time-to-event data and beyond"​
    Cadarso Suárez, C.; Klein, N.; Kneib, T. ; Molenberghs, G. & Rizopoulos, D.​ (2017) 
    Biometrical Journal, 59(6) pp. 1101​-1103​.​ DOI: https://doi.org/10.1002/bimj.201700180 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article
    ​ ​Studying the relationship between a woman's reproductive lifespan and age at menarche using a Bayesian multivariate structured additive distributional regression model​
    Duarte, E.; de Sousa, B.; Cadarso-Suárez, C.; Klein, N. ; Kneib, T.   & Rodrigues, V.​ (2017) 
    Biometrical journal. Biometrische Zeitschrift, 59(6) pp. 1232​-1246​.​ DOI: https://doi.org/10.1002/bimj.201600245 
    ​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 Economics, 43(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 statistics, 66(3) pp. 521​-536​.​ DOI: https://doi.org/10.1111/rssc.12176 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Smoothing Parameter and Model Selection for General Smooth Models Comment​
    Kneib, T. ​ (2016) 
    Journal of the American Statistical Association, 111(516) pp. 1563​-1565​.​ DOI: https://doi.org/10.1080/01621459.2016.1250576 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | Research Paper
    ​ ​A Semiparametric Analysis of Conditional Income Distributions​
    Sohn, A. ; Klein, N.   & Kneib, T. ​ (2016) 
    Schmollers Jahrbuch, 135(1) pp. 13​-22​.​ DOI: https://doi.org/10.3790/schm.135.1.13 
    ​Details  DOI 
  • 2016 | Journal Article | Erratum | 
    ​ ​Correction: Bayesian structured additive distributional regression with an application to regional income inequality in Germany​
    Klein, N. ; Kneib, T. ; Lang, S. & Sohn, A. ​ (2016) 
    The Annals of Applied Statistics, 10(2) pp. 1135​-1136​.​ DOI: https://doi.org/10.1214/16-AOAS922 
    ​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 Diseases, 16(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 ONE, 11(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 Medicine, 35(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 Journal, 58(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 statistics, 64(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 Computing, 25(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) 
    Biometrics, 71(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 Analysis, 11(4) pp. 1071​-1106​.​ DOI: https://doi.org/10.1214/15-ba983 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Expectile and quantile regression-David and Goliath?​
    Waltrup, L. S.; Sobotka, F.; Kneib, T.   & Kauermann, G.​ (2015) 
    Statistical Modelling, 15(5) pp. 433​-456​.​ DOI: https://doi.org/10.1177/1471082X14561155 
    ​Details  DOI  WoS 
  • 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 Statistics, 9(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 Computing, 26(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 Software, 14(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 Analysis, 22(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 Geographics, 14(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 Software, 63(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 Sciences, 27 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 Internationalis, 95(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 Economics, 55 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 Journal, 56(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 Statistics, 32(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 Statistics, 30(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 Analysis, 99(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 Association, 110(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 Computing, 25(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 Modelling, 15(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 Computing, 26(1-2) pp. 1​-14​.​ DOI: https://doi.org/10.1007/s11222-014-9520-y 
    ​Details  DOI 
  • 2014 | Journal Article | Research Paper | 
    ​ ​A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models​
    Saefken, B.; Kneib, T. ; van Waveren, C.-S. & Greven, S.​ (2014) 
    Electronic Journal of Statistics, 8(1) pp. 201​-225​.​ DOI: https://doi.org/10.1214/14-EJS881 
    ​Details  DOI 
  • 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 Heredity, 76(2) pp. 64​-75​.​ DOI: https://doi.org/10.1159/000357567 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article
    ​ ​Discussion of "The Evolution of Boosting Algorithms" and "Extending Statistical Boosting"​
    Bühlmann, P.; Gertheiss, J. ; Hieke, S.; Kneib, T. ; Ma, S.; Schumacher, M. & Tutz, G. et al.​ (2014) 
    Methods of Information in Medicine, 53(6) pp. 436​-445​.​ DOI: https://doi.org/10.3414/13100122 
    ​Details  DOI  PMID  PMC  WoS 
  • 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 Urology, 21(1) pp. 58​-63​.​ DOI: https://doi.org/10.1111/iju.12184 
    ​Details  DOI  PMID  PMC 
  • 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 Medicine, 34(2) pp. 232​-248​.​ DOI: https://doi.org/10.1002/sim.6320 
    ​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 Journal, 56(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 Analysis, 97(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 Health, 127(4) pp. 380​-385​.​ DOI: https://doi.org/10.1016/j.puhe.2012.12.007 
    ​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 statistics, 62(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 Medicine, 32(30) pp. 5301​-5314​.​ DOI: https://doi.org/10.1002/sim.5961 
    ​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
    ​ ​Rejoinder​
    Kneib, T. ​ (2013) 
    Statistical Modelling, 13(4) pp. 373​-385​.​ DOI: https://doi.org/10.1177/1471082X13494531 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | 
    ​ ​Beyond mean regression​
    Kneib, T. ​ (2013) 
    Statistical Modelling, 13(4) pp. 275​-303​.​ DOI: https://doi.org/10.1177/1471082X13494159 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | 
    ​ ​Bayesian semiparametric additive quantile regression​
    Yue, Y. R.; Lang, S.; Flexeder, C.; Waldmann, E.   & Kneib, T. ​ (2013) 
    Statistical Modelling, 13(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 Heredity, 74(2) pp. 97​-108​.​ DOI: https://doi.org/10.1159/000347188 
    ​Details  DOI  PMID  PMC 
  • 2012 | Journal Article
    ​ ​181 FIRST SENTINEL BASED NOMOGRAM PREDICTING THE PROBABILITY OF LYMPH NODE INVOLVEMENT IN PROSTATE CANCER PATIENTS UNDERGOING RADIO GUIDED LYMPH NODE DISSECTION AND RADICAL PROSTATECTOMY​
    Winter, A.; Kneib, T. ; Schatke, N.; Rohde, M.; Henke, R.-P. & Wawroschek, F.​ (2012) 
    Journal of Urology, 187(4S).​ DOI: https://doi.org/10.1016/j.juro.2012.02.233 
    ​Details  DOI 
  • 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 Association, 107(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 Conservation, 21(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 Analysis, 96(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 Epidemiology, 36(2) pp. e142​-e146​.​ DOI: https://doi.org/10.1016/j.canep.2011.12.005 
    ​Details  DOI 
  • 2012 | Journal Article
    ​ ​Novel Kernel for Correcting Significance Bias in the Logistic Kernel Machine Test with an Application to Rheumatoid Arthritis​
    Freytag, S.; Amos, C. I.; Bickeböller, H. ; Kneib, T.   & Schlather, M.​ (2012) 
    Human Heredity, 74 pp. 97​-108​.​
    ​Details 
  • 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) 
    SORT, 36 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 Transactions, 36 pp. 37​-38​.​
    ​Details 
  • 2012 | Journal Article
    ​ ​Variable selection and model choice in structured survival models​
    Hofner, B.; Hothorn, T. & Kneib, T. ​ (2012) 
    Computational Statistics, 28(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 Computing, 24(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 statistics, 61(3) pp. 403​-427​.​ DOI: https://doi.org/10.1111/j.1467-9876.2011.01033.x 
    ​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 Modelling, 11(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 Conservation, 144(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) 
    Biogeochemistry, 111(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 Association, 106(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) 
    Environmetrics, 23(1) pp. 75​-84​.​ DOI: https://doi.org/10.1002/env.1140 
    ​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 Statistics, 20(4) pp. 956​-971​.​ DOI: https://doi.org/10.1198/jcgs.2011.09220 
    ​Details  DOI 
  • 2011 | Journal Article | 
    ​ ​Comparison of a Bayesian and a regression model for stimulus classification​
    Köpcke, L. S; Furche, J.; Juárez Paz, L. M; Kneib, T.   & Kretzberg, J.​ (2011) 
    BMC Neuroscience, 12(S1).​ DOI: https://doi.org/10.1186/1471-2202-12-S1-P178 
    ​Details  DOI 
  • 2011 | Journal Article | 
    ​ ​On confidence intervals for semiparametric expectile regression​
    Sobotka, F.; Kauermann, G.; Schulze Waltrup, L. & Kneib, T. ​ (2011) 
    Statistics and Computing, 23(2) pp. 135​-148​.​ DOI: https://doi.org/10.1007/s11222-011-9297-1 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Flexible hazard ratio curves for continuous predictors in multi-state models​
    Cadarso-Suárez, C.; Meira-Machado, L.; Kneib, T.   & Gude, F.​ (2010) 
    Statistical Modelling, 10(3) pp. 291​-314​.​ DOI: https://doi.org/10.1177/1471082X0801000303 
    ​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 statistics, 60(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 & Aging, 14(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 Disorders, 29(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 Modelling, 10(3) pp. 291​-314​.​ DOI: https://doi.org/10.1177/1471082x0801000303 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Decomposing environmental, spatial, and spatiotemporal components of species distributions​
    Hothorn, T.; Müller, J.; Schröder, B.; Kneib, T.   & Brandl, R.​ (2010) 
    Ecological Monographs, 81(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 statistics, 59(3) pp. 381​-404​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.00698.x 
    ​Details  DOI 
  • 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 Transmission, 118(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) 
    Biometrika, 97(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 Association, 105(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 Analysis, 56(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 Software, 11 pp. 2109​-2113​.​
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Date Issued:  [2010 TO 2019]

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https://publications.goettingen-research-online.de URI: /cris/rp/rp00084
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