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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 75

Monographie

Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan und Marx, Brian (2013): Regression: Models, Methods and Applications. Berlin: Springer-Verlag.

Fahrmeir, Ludwig; Kneib, Thomas und Lang, Stefan (2009): Regression - Modelle, Methoden und Anwendungen. 2nd edition. Berlin: Springer Verlag.

Herausgeberschaft

Kneib, Thomas und Tutz, Gerhard (Hrsg.) (2010): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Berlin; Heidelberg u.a.: Physica-Verlag.

Zeitschriftenartikel

Säfken, Benjamin; Rügamer, David; Kneib, Thomas und Greven, Sonja (2021): Conditional Model Selection in Mixed-Effects Models with cAIC4. In: Journal of Statistical Software, Bd. 99, Nr. 8: S. 1-30

Saefken, Benjamin und Kneib, Thomas (2019): Conditional covariance penalties for mixed models. In: Scandinavian Journal of Statistics

Groll, Andreas; Kneib, Thomas; Mayr, Andreas und Schauberger, Gunther (2018): On the dependency of soccer scores - a sparse bivariate Poisson model for the UEFA European football championship 2016. In: Journal of Quantitative Analysis in Sports, Bd. 14, Nr. 2: S. 65-79

Friedrichs, Stefanie; Manitz, Juliane; Burger, Patricia; Amos, Christopher I.; Risch, Angela; Chang-Claude, Jenny; Wichmann, Heinz-Erich; Kneib, Thomas; Bickeböller, Heike und Hofner, Benjamin (2017): Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. In: Computational and Mathematical Methods in Medicine, Bd. 2017, 6742763 [PDF, 866kB]

Bühlmann, Peter; Gertheiss, Jan; Hieke, Stefanie; Kneib, Thomas; Ma, Shuangge; Schumacher, Martin; Tutz, Gerhard; Wang, Ching-Yun; Wang, Zhu und Ziegler, Andreas (2014): Discussion of ``The Evolution of Boosting Algorithms'' and ``Extending Statistical Boosting''. In: Methods of Information in Medicine, Bd. 53: S. 436-445

Säfken, Benjamin; Kneib, Thomas; Waveren, Clara-Sophie van und Greven, Sonja (2014): A Unifying Approach to the Estimation of the Conditional Akaike Information in Generalized Linear Mixed Models. In: Electronic Journal of Statistics, Bd. 8: S. 201-225

Hothorn, Torsten; Kneib, Thomas und Bühlmann, Peter (2014): Conditional Transformation Models. In: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Bd. 76, Nr. 1: S. 3-27

Schulze Waltrup, Linda; Sobotka, Fabian; Kneib, Thomas und Kauermann, Göran (2014): Expectile and Quantile Regression - David and Goliath? In: Statistical Modelling, Bd. 15, Nr. 5: S. 433-456 [PDF, 3MB]

Hofner, Benjamin; Hothorn, Torsten und Kneib, Thomas (2013): Variable Selection and Model Choice in Structured Survival Models. In: Computational Statistics, Bd. 28, Nr. 3: S. 1079-1101

Scheipl, Fabian; Kneib, Thomas und Fahrmeir, Ludwig (2013): Penalized likelihood and Bayesian function selection in regression models. In: AStA (Advances in Statistical Analysis), Bd. 97: S. 349-385

Sobotka, Fabian; Kauermann, Göran; Schulze Waltrup, Linda und Kneib, Thomas (2013): On Confidence Intervals for Geoadditive Expectile Regression Models. In: Statistics and Computing, Bd. 23, Nr. 2: S. 135-148

Scheipl, Fabian; Fahrmeir, Ludwig und Kneib, Thomas (2012): Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models. In: Journal of the American Statistical Association, Bd. 107, Nr. 500: S. 1518-1532

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (2012): Generalized additive models for location scale and shape for high-dimensional data - a flexible approach based on boosting. In: Journal of the Royal Statistical Society, Series C (Applied Statistics), Bd. 61: S. 403-427

Heinzl, Felix; Kneib, Thomas und Fahrmeir, Ludwig (2012): Additive mixed models with Dirichlet process mixture and P-spline priors. In: Advances in Statistical Analysis, Bd. 96, Nr. 1: S. 47-68

Kneib, Thomas; Konrath, Susanne und Fahrmeir, Ludwig (2011): High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance. In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Bd. 60, Nr. 1: S. 51-70

Hofner, Benjamin; Kneib, Thomas; Hartl, Wolfgang H. und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2011): Building cox-type structured hazard regression models with time-varying effects. In: Statistical Modelling, Bd. 11, Nr. 1: S. 3-24

Kneib, Thomas; Knauer, Felix und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2011): A general approach to the analysis of habitat selection. In: Environmental And Ecological Statistics, Bd. 18, Nr. 1: S. 1-25

Güthlin, Denise; Knauer, Felix; Kneib, Thomas; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Kaczensky, Petra; Rauer, Georg; Jonozovic, Marko; Mustoni, Andrea und Jerina, Klemen (2011): Estimating habitat suitability and potential population size for brown bears in the eastern alps. In: Biological Conservation, Bd. 144, Nr. 5: S. 1733-1741

Fenske, Nora; Kneib, Thomas und Hothorn, Torsten (2011): Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression. In: Journal of the American Statistical Association, Bd. 106, Nr. 494: S. 494-510

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias (2011): A framework for unbiased model selection based on boosting. In: Journal of Computational and Graphical Statistics, Bd. 20, Nr. 4: S. 956-971

Hothorn, Torsten; Müller, Jörg; Schröder, Boris; Kneib, Thomas und Brandl, Roland (2011): Decomposing environmental, spatial, and spatiotemporal components of species distributions. In: Ecological Monographs, Bd. 81, Nr. 2: S. 329-347

Wiesenfarth, Manuel und Kneib, Thomas (2010): Bayesian geoadditive sample selection models. In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Bd. 59, Nr. 3: S. 381-404

Hothorn, Torsten; Bühlmann, Peter; Kneib, Thomas; Schmid, Matthias und Hofner, Benjamin (2010): Model-based boosting 2.0. In: Journal of Machine Learning Research, Bd. 11: S. 1851-1855

Greven, Sonja und Kneib, Thomas (2010): On the behaviour of marginal and conditional AIC in linear mixed models. In: Biometrika, Bd. 97, Nr. 4: S. 773-789

Fahrmeir, Ludwig; Kneib, Thomas und Konrath, Susanne (2010): Bayesian regularisation in structured additive regression: A unifying perspective on shrinkage, smoothing and predictor selection. In: Statistics and Computing, Bd. 20, Nr. 2: S. 203-219

Bässler, Claus; Müller, Jörg; Hothorn, Torsten; Kneib, Thomas; Badeck, Frank und Dziock, Frank (2010): Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators. In: Ecological Indicators, Bd. 10, Nr. 2: S. 341-352

Alexopoulos, Panagiotis; Günther, Florian; Popp, Julius; Jessen, Frank; Peters, Oliver; Wolf, Stefanie; Kneib, Thomas; Kurz, Alexander; Richter-Schmidinger, Tanja; Lewczuk, Piotr; Bleich, Stefan; Wiltfang, Jens und Kornhuber, Johannes (2009): Plasma homocysteine and cerebrospinal fluid (CSF) neurodegeneration biomarkers in mild cognitive impairment (MCI) and dementia. In: Journal of the American Geriatrics Society, Bd. 57, Nr. 4: S. 737-739

Beyersmann, Jan; Kneib, Thomas; Schumacher, Martin und Gastmeier, Petra (2009): Nosocomial infection, length of stay and time-dependent bias. In: Infection Control & Hospital Epidemiology, Bd. 30: S. 273-276

Fahrmeir, Ludwig und Kneib, Thomas (2009): Discussion on "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations" by Rue, H., Martino, S. and Chopin, N. In: Journal of the Royal Statistical Society B, Bd. 71

Kalus, Stefanie; Kneib, Thomas; Steiger, Axel; Holsboer, Florian und Yassouridis, Alexander (2009): A new strategy to analyze possible association structures between dynamic nocturnal hormone activities and sleep alterations in humans. In: American Journal of Physiology- Regulatory, Integrative and Comparative Physiology, Bd. 296, Nr. 4: S. 1216-1227

Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard (2009): Variable Selection and Model Choice in Geoadditive Regression Models. In: Biometrics, Bd. 65, Nr. 2: S. 626-634

Scheipl, Fabian und Kneib, Thomas (2009): Locally adaptive Bayesian P-splines with a normal-exponential-gamma prior. In: Computational Statistics & Data Analysis, Bd. 53, Nr. 10: S. 3533-3552

Strasak, Alexander M.; Lang, Stefan; Kneib, Thomas; Brant, Larry J.; Klenk, Jochen; Hilbe, Wolfgang; Oberaigner, Willi; Ruttmann, Elfriede; Kaltenbacha, Lalit; Concin, Hans; Diem, Günter; Pfeiffer, Karl P.; Ulmer, Hanno und The VHM&PP Study Group (2009): 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. In: Annals of Epidemiology, Bd. 19, Nr. 1: S. 15-24

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim (2008): Conditional variable importance for random forests. In: BMC Bioinformatics 9:307 [PDF, 396kB]

Kneib, Thomas und Hennerfeind, Andrea (2008): Bayesian semiparametric multi-state models. In: Statistical Modelling, Bd. 8, Nr. 2: S. 169-198 [PDF, 2MB]

Paper

Groll, Andreas; Kneib, Thomas; Mayr, Andreas und Schauberger, Gunther (22. Juli 2016): Who’s the Favourite? – A Bivariate Poisson Model for the UEFA European Football Championship 2016. Department of Statistics: Technical Reports, Nr. 195 [PDF, 588kB]

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (13. Dezember 2010): GAMLSS for high-dimensional data – a flexible approach based on boosting. Department of Statistics: Technical Reports, Nr. 98 [PDF, 2MB]

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias (10. Dezember 2009): A Framework for Unbiased Model Selection Based on Boosting. Department of Statistics: Technical Reports, Nr. 72 [PDF, 914kB]

Heinzl, Felix; Kneib, Thomas und Fahrmeir, Ludwig (8. Oktober 2009): Additive mixed models with Dirichlet process mixture and P-spline priors. Department of Statistics: Technical Reports, Nr. 68 [PDF, 15MB]

Fenske, Nora; Kneib, Thomas und Hothorn, Torsten (2. April 2009): Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression. Department of Statistics: Technical Reports, Nr. 52 [PDF, 946kB]

Kneib, Thomas; Konrath, Susanne und Fahrmeir, Ludwig (23. Januar 2009): High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance. Department of Statistics: Technical Reports, Nr. 46 [PDF, 671kB]

Hofner, Benjamin; Hothorn, Torsten und Kneib, Thomas (27. November 2008): Variable Selection and Model Choice in Structured Survival Models. Department of Statistics: Technical Reports, Nr. 43 [PDF, 1MB]

Konrath, Susanne; Kneib, Thomas und Fahrmeir, Ludwig (1. August 2008): Bayesian Regularisation in Structured Additive Regression Models for Survival Data. Department of Statistics: Technical Reports, Nr. 35 [PDF, 809kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim (28. März 2008): Conditional Variable Importance for Random Forests. Department of Statistics: Technical Reports, Nr. 23 [PDF, 394kB]

Scheipl, Fabian und Kneib, Thomas (19. März 2008): Locally Adaptive Bayesian P-Splines with a Normal-Exponential-Gamma Prior. Department of Statistics: Technical Reports, Nr. 22 [PDF, 3MB]

Hofner, Benjamin; Kneib, Thomas; Hartl, Wolfgang und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2008): Building Cox-Type Structured Hazard Regression Models with Time-Varying Effects. Department of Statistics: Technical Reports, Nr. 27 Statistical Modelling (to appear) [PDF, 517kB]

Kneib, Thomas; Knauer, Felix und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2007): A General Approach for the Analysis of Habitat Selection. Department of Statistics: Technical Reports, Nr. 1 [PDF, 842kB]

Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard (2007): Variable Selection and Model Choice in Geoadditive Regression Models. Department of Statistics: Technical Reports, Nr. 3 [PDF, 1MB]

Kneib, Thomas; Müller, Jörg und Hothorn, Torsten (2006): Spatial Smoothing Techniques for the Assessment of Habitat Suitability. Sonderforschungsbereich 386, Discussion Paper 492 [PDF, 800kB]

Kneib, Thomas; Baumgartner, Bernhard und Steiner, Winfried J. (2006): Semiparametric Multinomial Logit Models for Analysing Consumer Choice Behaviour. Sonderforschungsbereich 386, Discussion Paper 501 [PDF, 924kB]

Kneib, Thomas und Hennerfeind, Andrea (2006): Bayesian Semiparametric Multi-State Models. Sonderforschungsbereich 386, Discussion Paper 502 [PDF, 1MB]

Fahrmeir, Ludwig und Kneib, Thomas (2006): Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence. Sonderforschungsbereich 386, Discussion Paper 510 [PDF, 949kB]

Kneib, Thomas und Fahrmeir, Ludwig (2005): Supplement to "Structured additive regression for categorical space-time data: A mixed model approach". Sonderforschungsbereich 386, Discussion Paper 431 [PDF, 1MB]

Kneib, Thomas (2005): Geoadditive hazard regression for interval censored survival times. Sonderforschungsbereich 386, Discussion Paper 447 [PDF, 616kB]

Kneib, Thomas und Fahrmeir, Ludwig (2004): A mixed model approach for structured hazard regression. Sonderforschungsbereich 386, Discussion Paper 400 [PDF, 1MB]

Kneib, Thomas und Fahrmeir, Ludwig (2004): Structured additive regression for multicategorical space-time data: A mixed model approach. Sonderforschungsbereich 386, Discussion Paper 377 [PDF, 520kB]

Brezger, Andreas; Kneib, Thomas und Lang, S. (2003): BayesX: Analysing Bayesian structured additive regression models. Sonderforschungsbereich 386, Discussion Paper 332 [PDF, 312kB]

Fahrmeir, Ludwig; Kneib, Thomas und Lang, S. (2003): Penalized additive regression for space-time data: a Bayesian perspective. Sonderforschungsbereich 386, Discussion Paper 305 [PDF, 753kB]

Buchbeitrag

Fahrmeir, Ludwig; Kneib, Thomas und Lang, Stefan (2013): Bayesian Multilevel Models. In: Scott, Marc; Simonoff, Jeffrey und Marx, Brian (Hrsg.): The SAGE Handbook of Multilevel Modelling. Los Angeles: Sage. S. 53-72

Konrath, Susanne; Kneib, Thomas und Fahrmeir, Ludwig (2013): Bayesian smoothing, shrinkage and variable selection in hazard regression. In: Becker, Claudia; Fried, Roland und Kuhnt, Sonja (Hrsg.): Robustness and Complex Data Structures. Festschrift in Honour of Ursula Gather. Berlin: Springer. S. 149-170

Kneib, Thomas und Fahrmeir, Ludwig (2011): A Space-Time Study on Forest Health. In: Chandler, Richard und Scott, Marian (Hrsg.): Statistical Methods for Trend Detection and Analysis in the Environmental Sciences. Hoboken: Wiley & Sons. S. 333-358

Höhle, Michael (2010): Online Changepoint Detection in Categorical Time Series. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Berlin, Heidelberg: Physica-Verlag. S. 377-397

Heumann, Christian und Grenke, Moritz (2010): An efficient model averaging procedure for logistic regression models using a bayesian estimator with laplace prior. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 79-90

Kneib, Thomas; Brezger, Andreas und Crainiceanu, Ciprian M. (2010): Generalized semiparametric regression models with nonparametric effects of covariates measured with error. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 133-154

Robinzonov, Nikolay und Hothorn, Torsten (2010): Boosting for estimating spatially structured additive models. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 181-196

Strobl, Carolin; Dittrich, Christian; Seiler, Christian; Hackensperger, Sandra und Leisch, Friedrich (2010): Measurement and predictors of a negative attitude towards statistics among LMU students. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 217-230

Tutz, Gerhard ORCID logoORCID: https://orcid.org/0000-0002-6628-3539 und Groll, Andreas (2010): Generalized linear mixed models based on boosting. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag, Springer. S. 197-215

Walter, Gero und Augustin, Thomas (2010): Bayesian Linear Regression - Different Conjugate Models and their (In)Sensitivity to Prior-Data Conflict. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 59-78

Schneeweiß, Hans und Ronning, Gerd (2010): Multiple linear panel regression with multiplicative random noise. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 399-417

Mansmann, Ulrich; Schmidberger, Markus; Strobl, Ralf und Jurinovic, Vindi (2010): Indirect Comparison of Interaction Graphs. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures -- Festschrift in Honour of Ludwig Fahrmeir. Physica-Verlag. S. 472

Kneib, Thomas (2009): Exploratory data analysis. In: Modern Computational Science 2009. Oldenburg: Oldenburg University Press.

Konferenzbeitrag

Oelker, Magret-Ruth; Sobotka, Fabian und Kneib, Thomas (2014): On (semiparametric) mode regression. 29th International Workshop on Statistical Modelling, Göttingen, 14.-18. Juli 2014. Kneiba, Thomas; Sobotka, Fabian; Fahrenholz, Jan und Irmer, Henriette (Hrsg.): In: Proceedings of the 29th International Workshop on Statistical Modelling, S. 243-248

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