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Anzahl der Publikationen auf dieser Ebene: 68

Deutsch

Bruns, P.; Paschedag, H. und Kauermann, G. (2016): Anerkannte wissenschaftliche Grundsätze zur Erstellung qualifizierter Mietspiegel. In: Zeitschrift für Miet- und Raumrecht, Bd. 69: S. 669-679

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

Kauermann, Göran und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2016): Statistik, Data Science und Big Data. In: AStA Wirtschafts - und Sozialstatistisches Archiv, Bd. 10, Nr. 2-3: S. 141-150

Kauermann, Göran und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2010): Stichproben. Methoden und praktische Umsetzung mit R. Berlin: Springer.

Kauermann, Göran; Thomschke, Lorenz und Braun, Reiner (2016): Scheinargumente bei Mietspiegeldebatte - Was definiert "moderne Mietspiegel?". In: Zeitschrift für Wirtschaftspolitik, Bd. 65, Nr. 3: S. 253-262

Kauermann, Göran und Windmann, Michael (2016): Mietspiegel heute zwischen Realität und statistischen Möglichkeiten. In: AStA Wirtschafts - und Sozialstatistisches Archiv

Rau, Stephanie; Kohn, Barbara; Richter, Constance; Fenske, Nora; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Hartmann, Katrin; Härtle, Stefan; Kaspers, Bernd und Hirschberger, Johannes (2009): Der Intensivpatient mit Sepsis? Kanines Interleukin-6 als prognostischer Parameter. In: Kleintierpraxis, Bd. 54, Nr. 4: S. 201-212

Thiemichen, S. und Kauermann, G. (2017): Stable Exponential Random Graph Models with Non-parametric Components for Large Dense Networks. In: Social Networks, Bd. 49: S. 67-80

Englisch

Adebayo, Samson B.; Fahrmeir, Ludwig; Seiler, Christian und Heumann, Christian (2011): Geoadditive Latent Variable Modeling of Count Data on Multiple Sexual Partnering in Nigeria. In: Biometrics, Bd. 67, Nr. 2: S. 620-628

Bauer, V.; Fürlinger, K. und Kauermann, G. (2019): A Note on Parallel Sampling in Markov Graphs. In: Computational Statistics

Bothmann, Ludwig; Menzel, Annette; Menze, Björn H.; Schunk, Christian und Kauermann, Göran (2017): Automated Processing of Webcam Images for Phenological Classification.
In: PLOS ONE 12(2), e0171918 , S. 1-23 [PDF, 3MB]

Bothmann, Ludwig; Windmann, Michael und Kauermann, Göran (2016): Realtime Classification of Fish in Underwater Sonar Videos. In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Bd. 65, Nr. 4: S. 565-584

Brenner, Thomas und Kauermann, Göran (2016): Specialization and Convergence of Industry-Specific Employment in Germany: A Linear Mixed-Model Approach with Spatial Components. In: Regional Studies, Bd. 50, Nr. 2: S. 326-341

Decker, Thomas; Lebacher, Michael und Tresp, Volker ORCID logoORCID: https://orcid.org/0000-0001-9428-3686 (2023): Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), Lemgo, Germany, 18-20 July 2023. Jasperneite, Jürgen (Hrsg.): In: 2023 IEEE 21st International Conference on Industrial Informatics : INDIN 2023 : 17-20 July 2023, Lemgo, Germany, [Piscataway, NJ]: IEEE.

Deffner, Veronika; Küchenhoff, Helmut; Maier, Verena; Pitz, Mike; Cyrys, Josef; Breitner, Susanne; Schneider, Alexandra; Gu, Jinwei; Geruschkat, Uta und Peters, Annette (2016): Two-level statistical modeling of outdoor and time-activity patterns during three seasons. In: Journal of Exposure Science and Environmental Epidemiology, Bd. 26, Nr. 1: S. 17-25

Döring, Dorothea; Roscher, Anita; Scheipl, Fabian; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 und Erhard, Michael H. (2009): Fear-related Behaviour of Dogs in Veterinary Practice. In: The Veterinary Journal, Bd. 182, Nr. 1: S. 38-43

Ensenauer, Regina; Chmitorz, Andrea; Riedel, Christina; Fenske, Nora; Hauner, Hans; Nennstiel-Ratzel, Uta und Kries, Rüdiger von (2013): Effects of suboptimal or excessive gestational weight gain on childhood overweight and abdominal adiposity: results from a retrospective cohort study. In: International Journal of Obesity, Bd. 37, Nr. 4: S. 505-512

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

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

Fensterer, Veronika; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Maier, Verena; Wichmann, Heinz-Erich; Breitner, Susanne; Peters, Annette; Gu, Jinwei und Cyrys, Josef (2014): Evaluation of the Impact of Low Emission Zone and Heavy Traffic Ban in Munich (Germany) on the Reduction of PM10 in Ambient Air. In: International Journal of Environmental Research and Public Health, Bd. 11, Nr. 5: S. 5094-5112

Haensch, Anna-Carolina ORCID logoORCID: https://orcid.org/0000-0001-6772-0393 (2021): Dealing with various flavors of missing data in ex-post survey harmonization and beyond. Dissertation, Universität Mannheim
[PDF, 2MB]

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

Kalus, Stefanie (2012): Biostatistical Modeling and Analysis of Combined fMRI and EEG Measurements. München: Dr. Hut Verlag.

Kalus, Stefanie; Bothmann, Ludwig; Yassouridis, Christina; Czisch, Michael; Sämann, Philipp G. und Fahrmeir, Ludwig (2015): Statistical Modeling of Time-Dependent fMRI Activation Effects. In: Human Brain Mapping, Bd. 36, Nr. 2: S. 731-743

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

Kalus, Stefanie; Sämann, Philipp G. und Fahrmeir, Ludwig (2013): Classification of brain activation vial spatial Bayesian variable selection in fMRI regression. In: Advances in Data Analysis and Classification: S. 1-21

Kauermann, Göran; Becher, Heiko und Maier, Verena (2018): Exploring the statistical uncertainty in acceptable exposure limit values for hexavalent chromium exposure. In: Journal of Exposure Science and Environmental Epidemiology, Bd. 28: S. 69-75

Kauermann, Göran; Haupt, Harry und Kaufmann, Nadeshda (2012): A Hitchhiker's View on Spatial Statistics and Spatial Econometrics for Lattice Data. In: Statistical Modelling, Bd. 12, Nr. 5: S. 419-440

Kauermann, Göran; Krivobokova, Tatyana und Fahrmeir, Ludwig (2009): Some Asymptotic Results on Generalized Penalized Spline Smoothing. In: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Bd. 71, Nr. 2: S. 487-503

Kauermann, Göran und Kuhlenkasper, Torben (2013): Penalized Splines and Multilevel Models. In: Scott, Marc; Simonoff, Jeffrey und Marx, Brian (Hrsg.): Handbook of Multilevel Modelling. Los Angeles: Sage. S. 325-334

Kauermann, Göran und Meestekemper, Thomas (2012): A short note on quantifying and visualizing yearly variation in online monitored temperature data. In: Statistical Modelling: An International Journal, Bd. 12: S. 195-209

Kauermann, Göran und Meyer, Renate (2014): Penalized Marginal Likelihood Estimation of Finite Mixtures of Archimedean Copulas. In: Computational Statistics, Bd. 29, Nr. 1-2: S. 283-306

Kauermann, Göran und Schellhase, Christian (2014): Flexible Pair-Copula Estimation in D-vines using Bivariate Penalized Splines. In: Statistics and Computing, Bd. 24, Nr. 6: S. 1081-1100

Kauermann, Göran; Schellhase, Christian und Ruppert, David (2013): Flexible Copula Density Estimation with Penalized Hierarchical B-Splines. In: Scandinavian Journal of Statistics, Bd. 40, Nr. 4: S. 685-705

Kauermann, Göran und Seidl, Thomas (19. März 2018): Data Science: a proposal for a curriculum. In: International Journal of Data Science and Analytics

Kauermann, Göran; Teuber, Timo und Flaschel, Peter (2012): Exploring US Business Cycles with Bivariate Loops using Penalized Spline Regression. In: Computational Economics, Bd. 39: S. 409-427

Kauermann, Göran und Westerheide, Nina (2012): To move or not to move to find a new job - Spatial Duration Time Model with Dynamic Covariate Effects. In: Journal of Applied Statistics, Bd. 39, Nr. 5: S. 995-1009

Khatab, Khaled und Fahrmeir, Ludwig (2009): Analysis of childhood morbidity with geoadditive probit and latent variable model: A case study for egypt. In: The American Journal of Tropical Medicine and Hygiene, Bd. 81, Nr. 1: S. 116-128

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

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

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

Lebacher, Michael; Thurner, Paul W. und Kauermann, Göran (2020): A dynamic separable network model with actor heterogeneity: An application to global weapons transfers. In: Journal of the Royal Statistical Society: Series A, Bd. 184, Nr. 1: S. 201-226 [PDF, 891kB]

Lebacher, Michael; Thurner, Paul W. und Kauermann, Göran (2020): Exploring Dependence Structures in the International Arms Trade Network: A Network Autocorrelation Approach. In: Statistical Modelling, Bd. 20, Nr. 2

Mayr, Andreas; Hothorn, Torsten und Fenske, Nora (2012): Prediction intervals for future BMI values of individual children - A non-parametric approach by quantile boosting. In: BMC Medical Research Methodology, Bd. 12: S. 6

Mestekemper, Thomas; Kauermann, Göran und Smith, Michael (2013): A Comparison of Periodic Autoregressive and Dynamic Factor Models in Intraday Energy Demand Forecasting. In: International Journal of Forecasting, Bd. 29, Nr. 1: S. 1-12

Meyer, Felix; Kauermann, Göran; Alder, Christopher und Cleophas, Catherine (28. Juli 2024): Modeling price-sensitive demand in turbulent times: an application to continuous pricing. In: Journal of Revenue and Pricing Management, Bd. 24, Nr. 2: S. 153-177 [PDF, 1MB]

Pyrka, Patricia; Wimmer, Valentin; Fenske, Nora; Fahrmeir, Ludwig und Schwirtz, Ansgar (2011): Factor Analysis in Performance Diagnostic Data of Competitive Ski Jumpers and Nordic Combined Athletes 2004-2008. In: Journal of Quantitative Analysis in Sports, Bd. 7, Nr. 3

Riedel, Christina; Kries, Rüdiger von; Fenske, Nora; Strauch, Konstantin; Ness, Andy R. und Beyerlein, Andreas (2013): Interactions of genetic and environmental risk factors with respect to body fat mass in children: results from the ALSPAC study. In: Obesity, Bd. 21, Nr. 6: S. 1238-1242

Rueff, Franziska; Przybilla, Bernhard; Bilo, Maria B.; Müller, Ulrich; Scheipl, Fabian; Arberer, Werner; Birnbaum, Joelle; Bodzenta-Lukaszyk, Anna; Bonifazi, Floriano; Bucher, Christoph; Campi, Paolo; Darsow, Ulf; Egger, Cornelia; Haeberli, Gabrielle; Hawranek, Thomas; Koerner, Michael; Kucharewicz, Iwona; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Lang, Roland; Quercia, Oliviero; Reider, Norbert; Severino, Maurizio; Sticherling, Michael; Sturm, Gunther J. und Wuethrich, B. (2009): Predictors of severe systemic anaphylactic reactions in patients with hymenoptera venom allergy: Importance of baseline serum tryptase-a study of the european academy of allergology and clinical immunology interest group on insect venom hypersensitivity. In: Journal of Allergy and Clinical Immunology, Bd. 124, Nr. 5: S. 1047-1054

Rueff, Franziska; Przybilla, Bernhard; Bilo, Maria B.; Müller, Ulrich; Scheipl, Fabian; Arberer, Werner; Birnbaum, Joelle; Bodzenta-Lukaszyk, Anna; Bonifazi, Floriano; Bucher, Christoph; Campi, Paolo; Darsow, Ulf; Egger, Cornelia; Haeberli, Gabrielle; Hawranek, Thomas; Kucharewicz, Iwona; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Lang, Roland; Quercia, Oliviero; Reider, Norbert; Severino, Maurizio; Sticherling, Michael; Sturm, Gunther J. und Wüthrich, Brunello (2010): Predictors of side effects during the buildup phase of venom immunotherapy for hymenoptera venom allergy: The importance of baseline serum tryptase. In: Journal of Allergy and Clinical Immunology, Bd. 126, Nr. 1: S. 105-111

Rzehak, Peter; Sausenthaler, Stefanie; Koletzko, Sibylle; Bauer, Carl P.; Schaaf, Beate; Berg, Andrea von; Berdel, Dieter; Borte, Michael; Herbarth, Olaf; Krämer, Ursula; Fenske, Nora; Wichmann, Heinz-Erich und Heinrich, Joachim (2009): Period-specific growth, overweight and modification by breastfeeding in the GINI and LISA birth cohorts up to age 6 years. In: European Journal of Epidemiology, Bd. 24, Nr. 8: S. 449-467

Sabanés Bové, Daniel; Held, Leonhard und Kauermann, Göran (2014): Objective Bayesian Model Selection in Generalised Additive Models with Penalised Splines. In: Journal of Computational and Graphical Statistics, Bd. 24, Nr. 2: S. 394-415

Scheipl, Fabian (2011): Bayesian Regularization and Model Choice in Structured Additive Regression. München: Dr. Hut Verlag.

Scheipl, Fabian (2011): spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R. In: Journal of Statistical Software, Bd. 43, Nr. 14: S. 1-24

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

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

Schellhase, Christian und Kauermann, Göran (2012): Density Estimation and Comparison with a Penalized Mixture Approach. In: Computational Statistics, Bd. 27, Nr. 4: S. 757-777

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora und Mayr, Andreas (2013): Boosted beta regression.
In: PLOS ONE 8(4), e61623 [PDF, 1MB]

Schulze Waltrup, L. und Kauermann, G. (2017): Smooth Expectiles for Panel Data using Penalized Splines. In: Statistics and Computing, Bd. 27, Nr. 1: S. 271-282

Schulze Waltrup, Linda und Kauermann, Göran (2016): A Short Note on Quantile and Expectile Estimation in Unequal Probability Samples. In: Survey Methodology, Bd. 42, Nr. 1: S. 179-187

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]

Shao, Shuai und Kauermann, Göran (2020): Understanding price elasticity for airline ancillary services. In: Journal of Revenue and Pricing Management, Bd. 19: S. 74-82

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

Svejdar, Viola; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Fahrmeir, Ludwig und Wassermann, Joachim (2011): External forcing of earthquake swarms at Alpine regions: example from a seismic meteorological network at Mt. Hochstaufen SE-Bavaria. In: Nonlinear Processes In Geophysics, Bd. 18, Nr. 6: S. 849-860

Thiemichen, Stephanie; Friel, Nial; Caimo, Alberto und Kauermann, Göran (2016): Bayesian Exponential Random Graph Models with Nodal Random Effects. In: Social Networks, Bd. 46: S. 11-28

Wegener, Michael und Kauermann, Göran (2015): Forecasting in nonlinear univariate time series using penalized splines. In: Statistical Papers: S. 1-20

Wimmer, Valentin; Fenske, Nora; Pyrka, Patricia und Fahrmeir, Ludwig (2011): Exploring competition performance in decathlon using semi-parametric latent factor models. In: Journal of Quantitative Analysis in Sports, Bd. 7, Nr. 4

de Montera, Béatrice; Zeihery, Dalia E.; Müller, Sigrid; Jammes, Hélène; Brem, Gottfried; Reichenbach, Horst-Dietrich; Scheipl, Fabian; Chavatte-Palmer, Pascale; Zakhartchenko, Valeri; Schmitz, Oliver J.; Wolf, Eckhard; Renard, Jean-Paul und Hiendleder, Stefan (2010): Quantification of Leukocyte Genomic 5-Methylcytosine Levels Reveals Epigenetic Plasticity in Healthy Adult Cloned Cattle. In: Cellular Reprogramming, Bd. 12, Nr. 2: S. 175-181

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