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Eine Ebene höher- Fakultäten (101902)
- Mathematik, Informatik und Statistik (4798)
- Statistik (2195)
- Technische Reports (244)
- Statistik (2195)
- Mathematik, Informatik und Statistik (4798)
Anzahl der Publikationen auf dieser Ebene: 244
Zeitschriftenartikel
Grün, Bettina und Leisch, Friedrich
(2008):
Dealing with Label Switching in Mixture Models Under Genuine Multimodality.
In: Journal of Multivariate Analysis, Bd. 100, Nr. 5: S. 851-861
[PDF, 4MB]
Paper
---, Shalabh und Heumann, Christian
(12. Dezember 2007):
Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions.
Department of Statistics: Technical Reports, Nr. 10
[PDF, 520kB]
---, Shalabh; Toutenburg, Helge und Heumann, Christian
(10. Dezember 2007):
Stein-Rule Estimation under an Extended Balanced Loss Function.
Department of Statistics: Technical Reports, Nr. 7
[PDF, 1MB]
Abedieh, Jasmin; Groll, Andreas 
ORCID: https://orcid.org/0000-0002-6628-3539 und Eugster, Manuel J. A.
(8. Februar 2013):
Measuring Concentration in Data with an Exogenous Order.
Department of Statistics: Technical Reports, Nr. 140
[PDF, 484kB]
ORCID: https://orcid.org/0000-0002-6628-3539 und Eugster, Manuel J. A.
(8. Februar 2013):
Measuring Concentration in Data with an Exogenous Order.
Department of Statistics: Technical Reports, Nr. 140
[PDF, 484kB]
Abou El-Komboz, Basil; Zeileis, Achim und Strobl, Carolin
(16. Januar 2014):
Detecting Differential Item and Step Functioning with Rating Scale and Partial Credit Trees.
Department of Statistics: Technical Reports, Nr. 152
[PDF, 548kB]
Adebayo, Samson B.; Fahrmeir, Ludwig und Seiler, Christian
(September 2009):
Geoadditive Latent Variable Modelling of Count Data on Multiple Sexual Partnering in Nigeria.
Department of Statistics: Technical Reports, Nr. 66
[PDF, 587kB]
Ahmad, M. Rauf
(15. Oktober 2010):
Tests for covariance matrices, particularly for high dimensional data.
Department of Statistics: Technical Reports, Nr. 91
[PDF, 538kB]
Bender, A.; Scheipl, F.; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Day, A. G. und Hartl, W.
(2016):
Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models.
Department of Statistics: Technical Reports, Nr. 192
[PDF, 212kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Day, A. G. und Hartl, W.
(2016):
Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models.
Department of Statistics: Technical Reports, Nr. 192
[PDF, 212kB]
Bender, A.; Scheipl, F.; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Hartl, W. und Day, A.
(2016):
Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models.
Department of Statistics: Technical Reports, Nr. 192
[PDF, 324kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Hartl, W. und Day, A.
(2016):
Modeling Exposure-Lag-Response Associations with Penalized Piece-wise Exponential Models.
Department of Statistics: Technical Reports, Nr. 192
[PDF, 324kB]
Berger, Ursula; Fritz, Cornelius und Kauermann, Göran
(Mai 2021):
Eine statistische Analyse des Effekts von verpflichtenden Tests an Schulen mit Präsenzunterricht im Vergleich zum Distanzunterricht.
Department of Statistics: Technical Reports, Nr. 238
[PDF, 378kB]
Bernau, Christoph; Augustin, Thomas und Boulesteix, Anne-Laure
(April 2011):
Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation.
Department of Statistics: Technical Reports, Nr. 105
[PDF, 708kB]
Bernau, Christoph und Boulesteix, Anne-Laure
(28. Januar 2010):
Variable Selection and Parameter Tuning in High-Dimensional Prediction.
Department of Statistics: Technical Reports, Nr. 76
[PDF, 448kB]
Bollmann, Stella; Heene, Moritz; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487 und Bühner, Markus
(14. April 2015):
What can the Real World do for simulation studies? A comparison of exploratory methods.
Department of Statistics: Technical Reports, Nr. 181
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-6372-2487 und Bühner, Markus
(14. April 2015):
What can the Real World do for simulation studies? A comparison of exploratory methods.
Department of Statistics: Technical Reports, Nr. 181
[PDF, 1MB]
Bollmann, Stella; Hölzl, Andreas; Heene, Moritz; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487 und Bühner, Markus
(14. April 2015):
Evaluation of a new k-means approach for exploratory clustering of items.
Department of Statistics: Technical Reports, Nr. 182
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-6372-2487 und Bühner, Markus
(14. April 2015):
Evaluation of a new k-means approach for exploratory clustering of items.
Department of Statistics: Technical Reports, Nr. 182
[PDF, 1MB]
Boulesteix, Anne-Laure; Bender, Andreas; Lorenzo Bermejo, Justo und Strobl, Carolin
(2. Mai 2011):
Random forest Gini importance favors SNPs with large minor allele frequency.
Department of Statistics: Technical Reports, Nr. 106
Briefings in Bioinformatics, 13
[PDF, 962kB]
Boulesteix, Anne-Laure; De Bin, Riccardo; Jiang, Xiaoyu und Fuchs, Mathias
(17. Dezember 2015):
IPF-LASSO: integrative L1-penalized regression with penalty factors for prediction based on multi-omics data.
Department of Statistics: Technical Reports, Nr. 187
[PDF, 497kB]
Boulesteix, Anne-Laure; Hable, Robert; Lauer, Sabine und Eugster, Manuel J. A.
(Januar 2013):
A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies.
Department of Statistics: Technical Reports, Nr. 136
[PDF, 413kB]
Boulesteix, Anne-Laure und Hothorn, Torsten
(1. September 2009):
Testing the additional predictive value of high-dimensional molecular data.
Department of Statistics: Technical Reports, Nr. 64
[PDF, 439kB]
Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah und Hapfelmeier, Alexander
(19. Dezember 2016):
Making Complex Prediction Rules Applicable for Readers: Current Practice in Random Forest Literature and Recommendations.
Department of Statistics: Technical Reports, Nr. 199
[PDF, 456kB]
Boulesteix, Anne-Laure; Janitza, Silke; Kruppa, Jochen und König, Inke R.
(25. Juli 2012):
Overview of Random Forest Methodology and Practical
Guidance with Emphasis on Computational Biology and
Bioinformatics.
Department of Statistics: Technical Reports, Nr. 129
[PDF, 376kB]
Boulesteix, Anne-Laure; Lauer, Sabine und Eugster, Manuel J. A.
(Januar 2013):
A plea for neutral comparison studies in computational sciences.
Department of Statistics: Technical Reports, Nr. 135
[PDF, 485kB]
Boulesteix, Anne-Laure und Sauerbrei, Willi
(2010):
Added predictive value of high-throughput molecular data to clinical data, and its validation.
Department of Statistics: Technical Reports, Nr. 87
Briefings in Bioinformatics, 12
[PDF, 278kB]
Boulesteix, Anne-Laure und Slawski, Martin
(13. Mai 2009):
Stability and aggregation of ranked gene lists.
Department of Statistics: Technical Reports, Nr. 59
Briefings in Bioinformatics, 10
[PDF, 439kB]
Boulesteix, Anne-Laure und Strobl, Carolin
(8. Mai 2009):
Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction.
Department of Statistics: Technical Reports, Nr. 58
BMC Medical Research Methodology (accepted for publication)
[PDF, 321kB]
Boulesteix, Anne-Laure; Strobl, Carolin; Augustin, Thomas und Daumer, Martin
(2007):
Evaluating microarray-based classifiers: an overview.
Department of Statistics: Technical Reports, Nr. 5
[PDF, 422kB]
Boulesteix, Anne-Laure; Strobl, Carolin; Weidinger, S.; Wichmann, Heinz-Erich und Wagenpfeil, S.
(2007):
Multiple testing for SNP-SNP interactions.
Department of Statistics: Technical Reports, Nr. 4
[PDF, 928kB]
Boulesteix, Anne-Laure; Vincent, Guillemot und Willi, Sauerbrei
(4. Mai 2010):
Use of pre-transformation to cope with outlying values in important candidate genes.
Department of Statistics: Technical Reports, Nr. 83
[PDF, 506kB]
Boulesteix, Anne-Laure; Wilson, Rory und Hapfelmeier, Alexander
(27. Oktober 2016):
Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies.
Department of Statistics: Technical Reports, Nr. 198
[PDF, 270kB]
Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure und Schmid, Matthias
(9. Januar 2015):
The Residual-based Predictiveness Curve - A Visual Tool to Assess the Performance of Prediction Models.
Department of Statistics: Technical Reports, Nr. 178
[PDF, 1MB]
Casalicchio, Giuseppe; Tutz, Gerhard und Schauberger, Gunther
(28. Mai 2014):
Subject-specific Bradley-Terry-Luce Models with Implicit Variable Selection.
Department of Statistics: Technical Reports, Nr. 160
[PDF, 396kB]
Cattaneo, Marco E. G. V.
(22. August 2013):
On maxitive integration.
Department of Statistics: Technical Reports, Nr. 147
[PDF, 512kB]
Cattaneo, Marco E. G. V.
(23. Juli 2012):
Likelihood decision functions.
Department of Statistics: Technical Reports, Nr. 128
[PDF, 574kB]
Cattaneo, Marco E. G. V.
(29. Februar 2008):
Probabilistic-possibilistic belief networks.
Department of Statistics: Technical Reports, Nr. 32
[PDF, 308kB]
Cattaneo, Marco E. G. V. und Wiencierz, Andrea
(30. Juni 2012):
On the implementation of LIR: the case of simple linear regression with interval data.
Department of Statistics: Technical Reports, Nr. 127
[PDF, 2MB]
Cattaneo, Marco E. G. V. und Wiencierz, Andrea
(29. November 2011):
Likelihood-based Imprecise Regression.
Department of Statistics: Technical Reports, Nr. 116
[PDF, 1MB]
Cattaneo, Marco E. G. V. und Wiencierz, Andrea
(29. Oktober 2011):
Robust regression with imprecise data.
Department of Statistics: Technical Reports, Nr. 114
[PDF, 1MB]
Couronné, Raphael; Probst, Philipp und Boulesteix, Anne-Laure
(21. Juli 2017):
Random forest versus logistic regression: a large-scale benchmark experiment.
Department of Statistics: Technical Reports, Nr. 205
[PDF, 909kB]
De Bin, Riccardo
(2. April 2015):
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost.
Department of Statistics: Technical Reports, Nr. 180
[PDF, 507kB]
De Bin, Riccardo; Herold, Tobias und Boulesteix, Anne-Laure
(18. Februar 2014):
Added predictive value of omics data: specific
issues related to validation illustrated by two
case studies.
Department of Statistics: Technical Reports, Nr. 154
[PDF, 542kB]
De Bin, Riccardo; Janitza, Silke; Sauerbrei, Willi und Boulesteix, Anne-Laure
(14. Oktober 2014):
Subsampling versus bootstrapping in resampling-based model selection for multivariable regression.
Department of Statistics: Technical Reports, Nr. 171
[PDF, 379kB]
De Bin, Riccardo; Sartori, Nicola und Severini, Thomas A.
(26. Februar 2014):
Integrated likelihoods in models with stratum nuisance parameters.
Department of Statistics: Technical Reports, Nr. 157
[PDF, 419kB]
De Bin, Riccardo; Sauerbrei, Willi und Boulesteix, Anne-Laure
(31. Oktober 2013):
Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.
Department of Statistics: Technical Reports, Nr. 153
[PDF, 453kB]
De Bin, Riccardo und Scarpa, Bruno
(8. September 2014):
Non-parametric Bayesian modeling of cervical
mucus symptom.
Department of Statistics: Technical Reports, Nr. 170
[PDF, 460kB]
Dolnicar, Sara und Leisch, Friedrich
(2009):
Evaluation of Structure and Reproducibility of Cluster Solutions Using the Bootstrap.
Department of Statistics: Technical Reports, Nr. 63
[PDF, 793kB]
Drießlein, David; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
Drießlein, David; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(1. September 2017):
Variable Selection and Inference in a
follow-up Study on Back Pain.
Department of Statistics: Technical Reports, Nr. 211
[PDF, 550kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(1. September 2017):
Variable Selection and Inference in a
follow-up Study on Back Pain.
Department of Statistics: Technical Reports, Nr. 211
[PDF, 550kB]
Endres, Eva und Augustin, Thomas
(17. April 2019):
Utilizing log-linear Markov networks to integrate categorical data files.
Department of Statistics: Technical Reports, Nr. 222
[PDF, 619kB]
Endres, Eva; Fink, Paul und Augustin, Thomas
(28. Februar 2018):
Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data.
Department of Statistics: Technical Reports, Nr. 214
[PDF, 629kB]
Endres, Eva; Newger, Katrin und Augustin, Thomas
(23. April 2019):
Binary data fusion using undirected probabilistic graphical models: Combining statisticalmatching and the Ising model.
Department of Statistics: Technical Reports, Nr. 223
[PDF, 481kB]
Engelhardt, Alexander; Rieger, Anna; Tresch, Achim und Mansmann, Ulrich
(19. Dezember 2016):
Efficient Maximum Likelihood Estimation for Pedigree Data with the Sum-Product Algorithm.
Department of Statistics: Technical Reports, Nr. 200
[PDF, 541kB]
Eugster, Manuel J. A.
(2011):
Archetypal Athletes.
Department of Statistics: Technical Reports, Nr. 113
[PDF, 5MB]
Eugster, Manuel J. A.; Gertheiss, Jan und Kaiser, Sebastian
(2010):
Having the Second Leg At Home - Advantage in the UEFA Champions League Knockout Phase?
Department of Statistics: Technical Reports, Nr. 80
[PDF, 2MB]
Eugster, Manuel J. A.; Hothorn, Torsten und Leisch, Friedrich
(30. Mai 2008):
Exploratory and Inferential Analysis of Benchmark Experiments.
Department of Statistics: Technical Reports, Nr. 30
[PDF, 1MB]
Eugster, Manuel J. A. und Leisch, Friedrich
(2010):
Weighted and Robust Archetypal Analysis.
Department of Statistics: Technical Reports, Nr. 82
[PDF, 1MB]
Eugster, Manuel J. A. und Leisch, Friedrich
(2009):
Exploratory Analysis of Benchmark Experiments -- An Interactive Approach.
Department of Statistics: Technical Reports, Nr. 56
[PDF, 3MB]
Eugster, Manuel J. A. und Leisch, Friedrich
(2008):
Spider-Man, the Child and the Trickster -- Archetypal Analysis in R.
Department of Statistics: Technical Reports, Nr. 44
[PDF, 1MB]
Eugster, Manuel J. A. und Leisch, Friedrich
(8. April 2008):
Bench Plot and Mixed Effects Models: First steps toward a comprehensive benchmark analysis toolbox.
Department of Statistics: Technical Reports, Nr. 26
Compstat 2008-Proceedings in Computational Statistics
[PDF, 491kB]
Eugster, Manuel J. A.; Leisch, Friedrich und Strobl, Carolin
(9. März 2010):
(Psycho-)Analysis of Benchmark Experiments. A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms.
Department of Statistics: Technical Reports, Nr. 78
[PDF, 785kB]
Fahrmeir, Ludwig und Khatab, Khaled
(2008):
Geoadditive Latent Variable Modelling of Child Morbidity and Malnutrition in Nigeria.
Department of Statistics: Technical Reports, Nr. 20
[PDF, 755kB]
Fenske, Nora; Fahrmeir, Ludwig; Rzehak, Peter und Höhle, Michael
(25. September 2008):
Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data.
Department of Statistics: Technical Reports, Nr. 38
[PDF, 1MB]
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]
Fuchs, Mathias; Hornung, Roman; De Bin, Riccardo und Boulesteix, Anne-Laure
(12. November 2013):
A U-statistic estimator for the variance of resampling-based error estimators.
Department of Statistics: Technical Reports, Nr. 148
[PDF, 323kB]
Fuchs, Mathias; Jiang, Xiaoyu und Anne-Laure, Boulesteix
(14. Januar 2016):
The computationally optimal test set size in simulation
studies on supervised learning.
Department of Statistics: Technical Reports, Nr. 189
[PDF, 432kB]
Fuchs, Mathias und Krautenbacher, Norbert
(November 2014):
Minimization and estimation of the variance of prediction errors for cross-validation designs.
Department of Statistics: Technical Reports, Nr. 173
[PDF, 468kB]
Fütterer, Cornelia; Nalenz, Malte und Augustin, Thomas
(11. November 2021):
Discriminative Power Lasso - Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection.
Department of Statistics: Technical Reports, Nr. 239
[PDF, 436kB]
Gertheiss, Jan; Goldsmith, Jeff; Crainiceanu, Ciprian und Greven, Sonja
(2012):
Longitudinal Scalar-on-Function Regression with Application to Tractography Data.
Department of Statistics: Technical Reports, Nr. 118
[PDF, 740kB]
Gertheiss, Jan; Hogger, Sara; Oberhauser, Cornelia und Tutz, Gerhard
(Juli 2009):
Selection of Ordinally Scaled Independent Variables.
Department of Statistics: Technical Reports, Nr. 62
Applied Statistics (accepted for publication)
[PDF, 2MB]
Gertheiss, Jan; Kärcher, Julia C. und Schmid, Volker J. ORCID: https://orcid.org/0000-0003-2195-8130
(2010):
Analysis of DCE-MRI Data using a Nonnegative Elastic Net.
Department of Statistics: Technical Reports, Nr. 90
[PDF, 2MB]
ORCID: https://orcid.org/0000-0003-2195-8130
(2010):
Analysis of DCE-MRI Data using a Nonnegative Elastic Net.
Department of Statistics: Technical Reports, Nr. 90
[PDF, 2MB]
Gertheiss, Jan und Tutz, Gerhard
(2010):
Regularization and Model Selection with Categorial Effect Modifiers.
Department of Statistics: Technical Reports, Nr. 73
Statistica Sinica (to appear)
[PDF, 2MB]
Gertheiss, Jan und Tutz, Gerhard
(2009):
Sparse Modeling of Categorial Explanatory Variables.
Department of Statistics: Technical Reports, Nr. 60
The Annals of Applied Statistics, 4
[PDF, 2MB]
Gertheiss, Jan und Tutz, Gerhard
(19. Juni 2008):
Feature Selection and Weighting by Nearest Neighbor Ensembles.
Department of Statistics: Technical Reports, Nr. 33
Chemometrics and Intelligent Laboratory Systems, 99
[PDF, 2MB]
Gertheiss, Jan und Tutz, Gerhard
(9. Januar 2008):
Penalized Regression with Ordinal Predictors.
Department of Statistics: Technical Reports, Nr. 15
International Statistical Review, 77
[PDF, 2MB]
Groll, Andreas ORCID: https://orcid.org/0000-0002-6628-3539; Hastie, Trevor und Tutz, Gerhard ORCID: https://orcid.org/0000-0002-6628-3539
(25. Februar 2016):
Regularization in Cox Frailty Models.
Department of Statistics: Technical Reports, Nr. 191
[PDF, 8MB]
ORCID: https://orcid.org/0000-0002-6628-3539; Hastie, Trevor und Tutz, Gerhard ORCID: https://orcid.org/0000-0002-6628-3539
(25. Februar 2016):
Regularization in Cox Frailty Models.
Department of Statistics: Technical Reports, Nr. 191
[PDF, 8MB]
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]
Groll, Andreas; Schauberger, Gunther und Tutz, Gerhard
(2. Juli 2014):
Brazil or Germany - who will win the trophy? Prediction of the FIFA World Cup 2014 based on team-specific regularized Poisson regression.
Department of Statistics: Technical Reports, Nr. 166
[PDF, 634kB]
Groll, Andreas und Tutz, Gerhard
(Juni 2011):
Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting.
Department of Statistics: Technical Reports, Nr. 110
[PDF, 5MB]
Groll, Andreas ORCID: https://orcid.org/0000-0002-6628-3539 und Tutz, Gerhard ORCID: https://orcid.org/0000-0002-6628-3539
(3. Juni 2011):
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation.
Department of Statistics: Technical Reports, Nr. 108
[PDF, 4MB]
ORCID: https://orcid.org/0000-0002-6628-3539 und Tutz, Gerhard ORCID: https://orcid.org/0000-0002-6628-3539
(3. Juni 2011):
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation.
Department of Statistics: Technical Reports, Nr. 108
[PDF, 4MB]
Grün, Bettina und Leisch, Friedrich
(April 2008):
Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects.
Department of Statistics: Technical Reports, Nr. 24
[PDF, 801kB]
Grün, Bettina und Leisch, Friedrich
(2007):
Finite Mixtures of Generalized Linear Regression Models.
Department of Statistics: Technical Reports, Nr. 13
[PDF, 498kB]
Guillemot, Vincent; Bender, Andreas und Boulesteix, Anne-Laure
(Dezember 2012):
iPACOSE: an iterative algorithm for the estimation of gene regulation networks.
Department of Statistics: Technical Reports, Nr. 133
[PDF, 423kB]
Guillemot, Vincent; Jelizarow, Monika; Tenenhaus, Arthur und Boulesteix, Anne-Laure
(2011):
SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data.
Department of Statistics: Technical Reports, Nr. 107
[PDF, 483kB]
Hapfelmeier, Alexander und Ulm, Kurt
(15. Januar 2013):
Variable selection with Random Forests for missing data.
Department of Statistics: Technical Reports, Nr. 137
[PDF, 563kB]
Hapfelmeier, Alexander; Hothorn, Torsten und Ulm, Kurt
(15. Februar 2012):
Random Forest variable importance with missing data.
Department of Statistics: Technical Reports, Nr. 121
[PDF, 567kB]
Heinzl, Felix und Tutz, Gerhard
(12. Juni 2012):
Clustering in linear mixed models with a group fused lasso penalty.
Department of Statistics: Technical Reports, Nr. 123
[PDF, 606kB]
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]
Heinzl, Felix und Tutz, Gerhard
(14. Februar 2013):
Clustering in Additive Mixed Models with
Approximate Dirichlet Process Mixtures using the EM Algorithm.
Department of Statistics: Technical Reports, Nr. 138
[PDF, 1MB]
Heinzl, Felix und Tutz, Gerhard
(17. November 2011):
Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm.
Department of Statistics: Technical Reports, Nr. 115
[PDF, 698kB]
Hess, Wolfgang; Tutz, Gerhard und Gertheiss, Jan
(23. Februar 2014):
A Flexible Link Function for Discrete-Time Duration Models.
Department of Statistics: Technical Reports, Nr. 155
[PDF, 626kB]
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]
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]
Hofner, Benjamin; Kneib, Thomas; Hartl, Wolfgang und Küchenhoff, Helmut ORCID: 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]
ORCID: 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]
Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay und Schmid, Matthias
(14. Februar 2012):
Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost.
Department of Statistics: Technical Reports, Nr. 120
[PDF, 784kB]
Hornung, Roman
(8. September 2020):
Diversity Forests: Using Split Sampling to Allow for Complex Split Procedures in Random Forest.
Department of Statistics: Technical Reports, Nr. 234
[PDF, 500kB]
Hornung, Roman
(23. Oktober 2017):
Ordinal Forests.
Department of Statistics: Technical Reports, Nr. 212
[PDF, 470kB]
Hornung, Roman; Bernau, Christoph; Truntzer, Caroline; Stadler, Thomas und Boulesteix, Anne-Laure
(16. April 2014):
Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation.
Department of Statistics: Technical Reports, Nr. 159
[PDF, 580kB]
Hornung, Roman und Boulesteix, Anne-Laure
(9. März 2021):
Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects.
Department of Statistics: Technical Reports, Nr. 237
[PDF, 805kB]
Hornung, Roman; Boulesteix, Anne-Laure und Causeur, David
(22. September 2015):
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment.
Department of Statistics: Technical Reports, Nr. 184
[PDF, 525kB]
Hornung, Roman; Causeur, David; Bernau, Christoph und Boulesteix, Anne-Laure
(8. Juni 2016):
Improving cross-study prediction through addon batch effect adjustment and addon normalization.
Department of Statistics: Technical Reports, Nr. 194
[PDF, 481kB]
Hornung, Roman und Wright, Marvin N.
(20. Dezember 2018):
Block Forests: random forests for blocks of clinical and omics covariate data.
Department of Statistics: Technical Reports, Nr. 219
[PDF, 432kB]
Hothorn, Torsten; Bretz, Frank und Westfall, Peter
(2008):
Simultaneous Inference in General Parametric Models.
Department of Statistics: Technical Reports, Nr. 19
[PDF, 416kB]
Höhle, Michael
(2. Oktober 2008):
Spatio-temporal epidemic modelling using additive-multiplicative intensity models.
Department of Statistics: Technical Reports, Nr. 41
[PDF, 3MB]
Höhle, Michael; Paul, Michaela und Held, Leonhard
(17. Dezember 2007):
Statistical approaches to the surveillance of infectious diseases for veterinary public health.
Department of Statistics: Technical Reports, Nr. 14
[PDF, 819kB]
Janitza, Silke
(10. April 2017):
On the overestimation of random forest’s out-of-bag error.
Department of Statistics: Technical Reports, Nr. 204
[PDF, 641kB]
Janitza, Silke; Binder, Harald und Boulesteix, Anne-Laure
(19. November 2014):
Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications.
Department of Statistics: Technical Reports, Nr. 163
[PDF, 1MB]
Janitza, Silke; Celik, Ender und Boulesteix, Anne-Laure
(22. Oktober 2015):
A computationally fast variable importance test for random forests for high-dimensional data.
Department of Statistics: Technical Reports, Nr. 185
[PDF, 1MB]
Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure
(November 2012):
An AUC-based Permutation Variable Importance Measure for Random Forests.
Department of Statistics: Technical Reports, Nr. 130
[PDF, 470kB]
Janitza, Silke und Tutz, Gerhard
(2. Januar 2015):
Prediction Models for Time Discrete Competing Risks.
Department of Statistics: Technical Reports, Nr. 177
[PDF, 552kB]
Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure
(1. Dezember 2014):
Random Forests for Ordinal Response Data: Prediction and Variable Selection.
Department of Statistics: Technical Reports, Nr. 174
[PDF, 597kB]
Janse, Christoph; Schollmeyer, Georg und Augustin, Thomas
(1. März 2018):
Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities.
Department of Statistics: Technical Reports, Nr. 215
[PDF, 605kB]
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(24. April 2018):
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
Department of Statistics: Technical Reports, Nr. 216
[PDF, 672kB]
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(5. August 2016):
A Probabilistic Evaluation Framework for Preference Aggregation Reflecting Group Homogeneity.
Department of Statistics: Technical Reports, Nr. 193
[PDF, 653kB]
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(5. August 2016):
Probabilistic Evaluation of Preference Aggregation Functions: A Statistical Approach in Social Choice Theory.
Department of Statistics: Technical Reports, Nr. 193
[PDF, 599kB]
Jelizarow, Monika; Cieza, Alarcos und Mansmann, Ulrich
(17. April 2013):
Global permutation tests for multivariate ordinal data: alternatives, test statistics, and the null dilemma.
Department of Statistics: Technical Reports, Nr. 142
[PDF, 727kB]
Jelizarow, Monika; Mansmann, Ulrich und Goeman, Jelle J.
(14. August 2014):
A Cochran-Armitage-type and a score-free
global test for multivariate ordinal data.
Department of Statistics: Technical Reports, Nr. 168
[PDF, 355kB]
Kaiser, Sebastian und Leisch, Friedrich
(16. April 2008):
A Toolbox for Bicluster Analysis in R.
Department of Statistics: Technical Reports, Nr. 28
[PDF, 589kB]
Kaiser, Sebastian; Träger, Dominik und Leisch, Friedrich
(22. Februar 2011):
Generating Correlated Ordinal Random Values.
Department of Statistics: Technical Reports, Nr. 94
[PDF, 652kB]
Kalus, Stefanie; Sämann, Philipp; Czisch, Michael und Fahrmeir, Ludwig
(26. Juni 2013):
fMRI activation detection with EEG priors.
Department of Statistics: Technical Reports, Nr. 146
[PDF, 1MB]
Kato, Mika; Mittnik, Stefan; Samaan, Daniel und Semmler, Willi
(15. November 2013):
Employment and Output Effects of Climate Policies.
Department of Statistics: Technical Reports, Nr. 149
[PDF, 1MB]
Khatab, Khaled und Fahrmeir, Ludwig
(2008):
Analysis of Childhood Morbidity with Geoadditive Probit and Latent Variable Model: A case study for Egypt.
Department of Statistics: Technical Reports, Nr. 21
[PDF, 1MB]
Klau, Simon; Hoffmann, Sabine; Patel, Chirag; Ioannidis, John und Boulesteix, Anne-Laure
(5. Februar 2020):
Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework.
Department of Statistics: Technical Reports, Nr. 233
[PDF, 513kB]
Klau, Simon; Jurinovic, Vindi; Hornung, Roman; Herold, Tobias und Boulesteix, Anne-Laure
(23. November 2017):
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data.
Department of Statistics: Technical Reports, Nr. 213
[PDF, 528kB]
Klau, Simon; Schönbrodt, Felix D. ORCID: https://orcid.org/0000-0002-8282-3910; Patel, Chirag; Ioannidis, John; Boulesteix, Anne-Laure und Hoffmann, Sabine
(5. Februar 2020):
Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology.
Department of Statistics: Technical Reports, Nr. 232
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-8282-3910; Patel, Chirag; Ioannidis, John; Boulesteix, Anne-Laure und Hoffmann, Sabine
(5. Februar 2020):
Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology.
Department of Statistics: Technical Reports, Nr. 232
[PDF, 1MB]
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; Knauer, Felix und Küchenhoff, Helmut ORCID: 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]
ORCID: 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; 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]
Knüsel, Leo
(2009):
The General Linear Model and the Generalized Singular Value Decomposition; Some Examples.
Department of Statistics: Technical Reports, Nr. 49
[PDF, 690kB]
Knüsel, Leo
(2009):
The General Linear Model and the Generalized Singular Value Decomposition.
Department of Statistics: Technical Reports, Nr. 48
[PDF, 425kB]
Knüsel, Leo
(2008):
Factor Analysis: Chisquare as Rotation Criterion.
Department of Statistics: Technical Reports, Nr. 40
[PDF, 303kB]
Knüsel, Leo
(20. Oktober 2008):
Singulärwert-Zerlegung und Methode der kleinsten Quadrate.
Department of Statistics: Technical Reports, Nr. 31
[PDF, 437kB]
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]
Kopf, Julia; Augustin, Thomas und Strobl, Carolin
(2010):
The potential of model-based recursive partitioning in the social sciences - Revisiting Ockham's Razor.
Department of Statistics: Technical Reports, Nr. 88
[PDF, 661kB]
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(24. November 2013):
Anchor selection strategies for DIF analysis: Review, assessment, and new approaches.
Department of Statistics: Technical Reports, Nr. 150
[PDF, 497kB]
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(13. März 2013):
Anchor methods for DIF detection: A comparison of the iterative forward, backward, constant and all-other anchor class.
Department of Statistics: Technical Reports, Nr. 141
[PDF, 549kB]
Krämer, Nicole; Schäfer, Juliane und Boulesteix, Anne-Laure
(6. Mai 2009):
Regularized estimation of large-scale gene association networks using graphical Gaussian models.
Department of Statistics: Technical Reports, Nr. 57
BMC Bioinformatics (accepted for publication)
[PDF, 546kB]
Kunz, Anne; Augustin, Thomas und Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487
(2010):
Partially Identified Prevalence Estimation under Misclassification using the Kappa Coefficient.
Department of Statistics: Technical Reports, Nr. 74
[PDF, 952kB]
ORCID: https://orcid.org/0000-0002-6372-2487
(2010):
Partially Identified Prevalence Estimation under Misclassification using the Kappa Coefficient.
Department of Statistics: Technical Reports, Nr. 74
[PDF, 952kB]
Laubender, Rüdiger P. und Mansmann, Ulrich
(24. Dezember 2014):
Estimating individual treatment effects from
responses and a predictive biomarker in a
parallel group RCT.
Department of Statistics: Technical Reports, Nr. 176
[PDF, 2MB]
Leisch, Friedrich
(17. Juni 2009):
Neighborhood Graphs, Stripes and Shadow Plots for Cluster Visualization.
Department of Statistics: Technical Reports, Nr. 61
[PDF, 1MB]
Leisch, Friedrich
(2007):
R behind the scenes: Using S the (un)usual way.
Department of Statistics: Technical Reports, Nr. 12
[PDF, 1MB]
Leitenstorfer, Florian und Tutz, Gerhard
(20. Juni 2008):
Estimation of Single-Index Models Based on Boosting Techniques.
Department of Statistics: Technical Reports, Nr. 34
[PDF, 782kB]
Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. und Tutz, Gerhard
(9. April 2014):
Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the Lasso approach.
Department of Statistics: Technical Reports, Nr. 158
[PDF, 709kB]
Mauerer, Ingrid und Schneider, Micha
(6. August 2019):
Uncertainty in Issue Placements and Spatial Voting.
Department of Statistics: Technical Reports, Nr. 226
[PDF, 524kB]
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]
Meyer, Sebastian; Elias, Johannes und Höhle, Michael
(2010):
A space-time conditional intensity model for infectious disease occurence.
Department of Statistics: Technical Reports, Nr. 95
Biometrics, 68
[PDF, 4MB]
Mittnik, Stefan; Robinzonov, Nikolay und Spindler, Martin
(16. Mai 2012):
Boosting the Anatomy of Volatility.
Department of Statistics: Technical Reports, Nr. 124
[PDF, 871kB]
Mohajer, Mojgan; Englmeier, Karl-Hans und Schmid, Volker J. ORCID: https://orcid.org/0000-0003-2195-8130
(1. Dezember 2010):
A comparison of Gap statistic definitions with and without logarithm function.
Department of Statistics: Technical Reports, Nr. 96
[PDF, 766kB]
ORCID: https://orcid.org/0000-0003-2195-8130
(1. Dezember 2010):
A comparison of Gap statistic definitions with and without logarithm function.
Department of Statistics: Technical Reports, Nr. 96
[PDF, 766kB]
Monika, Jelizarow; Vincent, Guillemot; Arthur, Tenenhaus; Korbinian, Strimmer und Anne-Laure, Boulesteix
(3. Mai 2010):
Over-optimism in bioinformatics: an illustration.
Department of Statistics: Technical Reports, Nr. 81
[PDF, 596kB]
Möst, Stephanie; Pößnecker, Wolfgang und Tutz, Gerhard
(28. Mai 2014):
Variable Selection for Discrete Competing Risks Models.
Department of Statistics: Technical Reports, Nr. 161
[PDF, 729kB]
Nalenz, Malte und Augustin, Thomas
(11. November 2021):
Cultivated Random Forests: Robust Decision Tree
Learning through Tree Structured Ensembles.
Department of Statistics: Technical Reports, Nr. 240
[PDF, 463kB]
Oelker, Margret-Ruth; Gertheiss, Jan und Tutz, Gerhard
(6. März 2012):
Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models.
Department of Statistics: Technical Reports, Nr. 122
[PDF, 596kB]
Oelker, Margret-Ruth und Tutz, Gerhard
(11. März 2013):
A General Family of Penalties for Combining Differing Types of Penalties in Generalized Structured Models.
Department of Statistics: Technical Reports, Nr. 139
[PDF, 802kB]
Oppel, Steffen; Strobl, Carolin und Huettmann, Falk
(2009):
Alternative methods to quantify variable importance in ecology.
Department of Statistics: Technical Reports, Nr. 65
[PDF, 161kB]
Petry, Sebastian; Flexeder, Claudia und Tutz, Gerhard
(2. März 2011):
Pairwise Fused Lasso.
Department of Statistics: Technical Reports, Nr. 102
[PDF, 745kB]
Petry, Sebastian und Tutz, Gerhard
(2011):
The OSCAR for Generalized Linear Models.
Department of Statistics: Technical Reports, Nr. 112
[PDF, 745kB]
Petry, Sebastian und Tutz, Gerhard
(7. April 2009):
Shrinkage and Variable Selection by Polytopes.
Department of Statistics: Technical Reports, Nr. 53
[PDF, 963kB]
Plass, Julia; Cattaneo, Marco E. G. V.; Augustin, Thomas; Schollmeyer, Georg und Heumann, Christian
(28. November 2017):
Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 866kB]
Plass, Julia; Cattaneo, Marco E. G. V.; Schollmeyer, Georg und Augustin, Thomas
(22. März 2017):
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Department of Statistics: Technical Reports, Nr. 201
[PDF, 1MB]
Plass, Julia; Fink, Paul; Schöning, Norbert und Augustin, Thomas
(10. März 2015):
Statistical Modelling in Surveys without Neglecting "The Undecided": Multinomial Logistic Regression Models and Imprecise Classification Trees under Ontic Data Imprecision - extended version.
Department of Statistics: Technical Reports, Nr. 179
[PDF, 601kB]
Pößnecker, Wolfgang und Tutz, Gerhard
(18. Januar 2016):
A General Framework for the Selection of Effect Type in Ordinal Regression.
Department of Statistics: Technical Reports, Nr. 186
[PDF, 625kB]
Razzak, Humera und Heumann, Christian
(7. Januar 2020):
Application of Iterative Hybrid MI Approach to
Household Survey Data with Complex Dependency
Structures.
Department of Statistics: Technical Reports, Nr. 231
[PDF, 1MB]
Razzak, Humera und Heumann, Christian
(7. Januar 2020):
The ability of different imputation methods to capture complex dependencies in high dimensions.
Department of Statistics: Technical Reports, Nr. 230
[PDF, 1MB]
Razzak, Humera und Heumann, Christian
(7. Januar 2020):
A hybrid technique for the multiple imputation of
survey data.
Department of Statistics: Technical Reports, Nr. 229
[PDF, 2MB]
Razzak, Humera und Heumann, Christian
(3. Dezember 2019):
Predictive performance of a hybrid technique for
the multiple imputation of survey data.
Department of Statistics: Technical Reports, Nr. 228
[PDF, 818kB]
Rieger, Anna; Hothorn, Torsten und Strobl, Carolin
(2010):
Random Forests with Missing Values in the Covariates.
Department of Statistics: Technical Reports, Nr. 79
[PDF, 394kB]
Robinzonov, Nikolay; Tutz, Gerhard und Hothorn, Torsten
(2010):
Boosting Techniques for Nonlinear Time Series Models.
Department of Statistics: Technical Reports, Nr. 75
[PDF, 2MB]
Rospleszcz, Susanne; Janitza, Silke und Boulesteix, Anne-Laure
(7. August 2014):
Categorical variables with many categories are
preferentially selected in model selection procedures for multivariable regression models on bootstrap samples.
Department of Statistics: Technical Reports, Nr. 164
[PDF, 604kB]
Scharl, Theresa; Grün, Bettina und Leisch, Friedrich
(2009):
Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects.
Department of Statistics: Technical Reports, Nr. 71
[PDF, 735kB]
Scharl, Theresa; Voglhuber, Ingo und Leisch, Friedrich
(2009):
Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs.
Department of Statistics: Technical Reports, Nr. 70
[PDF, 1MB]
Scharl, Theresa und Leisch, Friedrich
(2008):
Visualizing Gene Clusters using Neighborhood Graphs in R.
Department of Statistics: Technical Reports, Nr. 16
[PDF, 501kB]
Schauberger, Gunther; Groll, Andreas und Tutz, Gerhard
(25. August 2016):
Modeling Football Results in the German Bundesliga Using Match-specific Covariates.
Department of Statistics: Technical Reports, Nr. 197
[PDF, 560kB]
Schauberger, Gunther und Tutz, Gerhard
(17. Januar 2017):
BTLLasso - A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models.
Department of Statistics: Technical Reports, Nr. 202
[PDF, 593kB]
Schauberger, Gunther und Tutz, Gerhard
(19. August 2015):
Modelling Heterogeneity in Paired Comparison Data - an L1 Penalty Approach with an Application to Party Preference Data.
Department of Statistics: Technical Reports, Nr. 183
[PDF, 440kB]
Scheipl, Fabian und Greven, Sonja
(11. Juni 2015):
Identifiability in penalized function-on-function regression models.
Department of Statistics: Technical Reports, Nr. 125
[PDF, 825kB]
Scheipl, Fabian
(8. September 2010):
Normal-Mixture-of-Inverse-Gamma Priors for Bayesian Regularization and Model Selection in Structured Additive Regression Models.
Department of Statistics: Technical Reports, Nr. 84
[PDF, 5MB]
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]
Schmid, Matthias und Hothorn, Torsten
(2008):
Flexible Boosting of Accelerated Failure Time Models.
Department of Statistics: Technical Reports, Nr. 18
[PDF, 378kB]
Schmid, Matthias und Hothorn, Torsten
(2007):
Boosting Additive Models using Component-wise P-Splines.
Department of Statistics: Technical Reports, Nr. 2
[PDF, 483kB]
Schmid, Matthias; Hothorn, Torsten; Maloney, K. O.; Weller, D. E. und Potapov, Sergej
(2010):
Geoadditive Regression Modeling of Stream Biological Condition.
Department of Statistics: Technical Reports, Nr. 86
[PDF, 6MB]
Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette und Hothorn, Torsten
(24. November 2008):
Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions.
Department of Statistics: Technical Reports, Nr. 42
[PDF, 756kB]
Schmid, Matthias und Schneeweiß, Hans
(4. April 2008):
The Effect of Microaggregation by Individual Ranking on the Estimation of Moments.
Department of Statistics: Technical Reports, Nr. 25
[PDF, 402kB]
Schmid, Volker J. ORCID: https://orcid.org/0000-0003-2195-8130
(2. März 2010):
Spatio-Temporal Modelling of Perfusion Cardiovascular MRI.
Department of Statistics: Technical Reports, Nr. 77
[PDF, 545kB]
ORCID: https://orcid.org/0000-0003-2195-8130
(2. März 2010):
Spatio-Temporal Modelling of Perfusion Cardiovascular MRI.
Department of Statistics: Technical Reports, Nr. 77
[PDF, 545kB]
Schmidberger, Markus; Morgan, Martin; Eddelbuettel, Dirk; Yu, Hao; Tierney, Luke und Mansmann, Ulrich
(2009):
State-of-the-Art in Parallel Computing with R.
Department of Statistics: Technical Reports, Nr. 47
Journal of Statistical Software, 31
[PDF, 525kB]
Schneeweiß, Hans
(30. Juni 2014):
The linear GMM model with singular covariance matrix due to the elimination of a nuisance parameter.
Department of Statistics: Technical Reports, Nr. 165
[PDF, 307kB]
Schneeweiß, Hans und Komlos, John
(16. Dezember 2008):
Probabilistic Rounding and Sheppard's Correction.
Department of Statistics: Technical Reports, Nr. 45
[PDF, 381kB]
Schneider, Micha
(6. August 2019):
Dealing with Heterogeneity in Discrete Survival Analysis using the Cure Model.
Department of Statistics: Technical Reports, Nr. 224
[PDF, 739kB]
Schneider, Micha; Pößnecker, Wolfgang und Tutz, Gerhard
(6. August 2019):
Variable Selection in Mixture Models with an Uncertainty Component.
Department of Statistics: Technical Reports, Nr. 225
[PDF, 805kB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
A simple descriptive method for multidimensional item response theory based on stochastic dominance.
Department of Statistics: Technical Reports, Nr. 210
[PDF, 1MB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems.
Department of Statistics: Technical Reports, Nr. 209
[PDF, 2MB]
Schollmeyer, Georg
(30. August 2017):
Application of lower quantiles for complete lattices to ranking data: analyzing outlyingness of preference orderings.
Department of Statistics: Technical Reports, Nr. 208
[PDF, 3MB]
Schollmeyer, Georg
(31. August 2017):
Lower quantiles for complete lattices.
Department of Statistics: Technical Reports, Nr. 207
[PDF, 528kB]
Schollmeyer, Georg und Augustin, Thomas
(21. Mai 2013):
On Sharp Identification Regions for Regression Under Interval Data.
Department of Statistics: Technical Reports, Nr. 143
[PDF, 686kB]
Schwaferts, Patrick
(10. Februar 2021):
Updating Consistency in Bayes Factors.
Department of Statistics: Technical Reports, Nr. 236
[PDF, 404kB]
Schwaferts, Patrick und Augustin, Thomas
(17. November 2020):
Bayesian Decisions using Regions of Practical Equivalence (ROPE): Foundations.
Department of Statistics: Technical Reports, Nr. 235
[PDF, 454kB]
Schüller, Nicole; Boulesteix, Anne-Laure; Bischl, Bernd; Unger, Kristian und Hornung, Roman
(18. März 2019):
Improved outcome prediction across data sources through robust parameter tuning.
Department of Statistics: Technical Reports, Nr. 221
[PDF, 522kB]
Seibold, Heidi; Bernau, Christoph; Boulesteix, Anne-Laure und De Bin, Riccardo
(7. Januar 2016):
On the choice and influence of the number of boosting steps.
Department of Statistics: Technical Reports, Nr. 188
[PDF, 472kB]
Seiler, Christian
(2010):
Dynamic modelling of Nonresponse in Business Surveys.
Department of Statistics: Technical Reports, Nr. 93
[PDF, 407kB]
Seiler, Christian und Heumann, Christian
(2012):
Microdata Imputations and Macrodata Implications: Evidence from the Ifo Business Survey.
Department of Statistics: Technical Reports, Nr. 119
[PDF, 921kB]
Shafik, Nivien und Tutz, Gerhard
(2007):
Boosting Nonlinear Additive Autoregressive Time Series.
Department of Statistics: Technical Reports, Nr. 6
[PDF, 776kB]
Shalabh, Shalabh und Heumann, Christian
(11. Februar 2011):
Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators.
Department of Statistics: Technical Reports, Nr. 104
[PDF, 517kB]
Slawski, Martin; Castell, Wolfgang zu und Tutz, Gerhard
(9. März 2009):
Feature Selection Guided by Structural Information.
Department of Statistics: Technical Reports, Nr. 51
[PDF, 1MB]
Slawski, Martin; Daumer, Martin und Boulesteix, Anne-Laure
(30. Mai 2008):
CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data.
Department of Statistics: Technical Reports, Nr. 29
[PDF, 456kB]
Sommer, Julia C.; Gertheiss, Jan und Schmid, Volker J. ORCID: https://orcid.org/0000-0003-2195-8130
(10. Oktober 2012):
Spatially regularized estimation for the analysis of DCE-MRI data.
Department of Statistics: Technical Reports, Nr. 132
[PDF, 3MB]
ORCID: https://orcid.org/0000-0003-2195-8130
(10. Oktober 2012):
Spatially regularized estimation for the analysis of DCE-MRI data.
Department of Statistics: Technical Reports, Nr. 132
[PDF, 3MB]
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]
Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim
(11. Februar 2009):
Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package.
Department of Statistics: Technical Reports, Nr. 50
[PDF, 274kB]
Strobl, Carolin; Kopf, Julia und Zeileis, Achim
(2010):
A new method for detecting differential item functioning in the Rasch model.
Department of Statistics: Technical Reports, Nr. 92
[PDF, 407kB]
Strobl, Carolin; Malley, James und Tutz, Gerhard
(April 2009):
An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests.
Department of Statistics: Technical Reports, Nr. 55
[PDF, 974kB]
Strobl, Carolin; Wickelmaier, Florian und Zeileis, Achim
(April 2009):
Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning.
Department of Statistics: Technical Reports, Nr. 54
[PDF, 536kB]
Strobl, Carolin und Zeileis, Achim
(30. Januar 2008):
Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance.
Department of Statistics: Technical Reports, Nr. 17
[PDF, 323kB]
Thurner, Paul W.; Klima, André und Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487
(Juni 2014):
Agricultural Structure and the Rise of the Nazi Party reconsidered.
Department of Statistics: Technical Reports, Nr. 162
[PDF, 7MB]
ORCID: https://orcid.org/0000-0002-6372-2487
(Juni 2014):
Agricultural Structure and the Rise of the Nazi Party reconsidered.
Department of Statistics: Technical Reports, Nr. 162
[PDF, 7MB]
Tutz, Gerhard und Petry, Sebastian
(21. Mai 2013):
Generalized Additive Models with Unknown Link Function Including Variable Selection.
Department of Statistics: Technical Reports, Nr. 145
[PDF, 2MB]
Tutz, Gerhard; Pößnecker, Wolfgang und Uhlmann, Lorenz
(21. Juni 2012):
Variable Selection in General Multinomial Logit Models.
Department of Statistics: Technical Reports, Nr. 126
[PDF, 567kB]
Tutz, Gerhard und Ramzan, Shahla
(13. Oktober 2014):
Improved Methods for the Imputation of Missing Data by Nearest Neighbor Methods.
Department of Statistics: Technical Reports, Nr. 172
[PDF, 672kB]
Tutz, Gerhard
(3. Januar 2019):
Modelling Heterogeneity: On the Problem of Group Comparisons with Logistic Regression and the Potential of the Heterogeneous Choice Model.
Department of Statistics: Technical Reports, Nr. 220
[PDF, 477kB]
Tutz, Gerhard
(20. Dezember 2018):
On the Construction of Adjacent Categories Latent Trait Models from Binary Variables, Motivating Processes and the Interpretation of
Parameters.
Department of Statistics: Technical Reports, Nr. 218
[PDF, 449kB]
Tutz, Gerhard und Draxler, Clemens
(30. Oktober 2019):
A Common Framework for Classical and
Tree-Based Item Response Models Including
Extended Hierarchically Structured Models.
Department of Statistics: Technical Reports, Nr. 227
[PDF, 520kB]
Tutz, Gerhard und Gertheiss, Jan
(20. Dezember 2007):
Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression.
Department of Statistics: Technical Reports, Nr. 11
Journal of Computational and Graphical Statistics, 19
[PDF, 2MB]
Tutz, Gerhard und Groll, Andreas
(2014):
Variable Selection in Discrete Survival Models Including Heterogeneity.
Department of Statistics: Technical Reports, Nr. 167
[PDF, 571kB]
Tutz, Gerhard und Groll, Andreas
(Dezember 2010):
Binary and Ordinal Random Effects Models Including Variable Selection.
Department of Statistics: Technical Reports, Nr. 97
[PDF, 1MB]
Tutz, Gerhard und Moritz, Berger
(22. Februar 2016):
Separating Location and Dispersion in Ordinal Regression Models.
Department of Statistics: Technical Reports, Nr. 190
[PDF, 632kB]
Tutz, Gerhard und Moritz, Berger
(12. August 2014):
Tree-Structured Modelling of Categorical Predictors in Regression.
Department of Statistics: Technical Reports, Nr. 169
[PDF, 573kB]
Tutz, Gerhard und Oelker, Margret-Ruth
(30. Oktober 2014):
Modeling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures.
Department of Statistics: Technical Reports, Nr. 156
[PDF, 649kB]
Tutz, Gerhard und Petry, Sebastian
(9. Juli 2010):
Nonparametric Estimation of the Link Function Including Variable Selection.
Department of Statistics: Technical Reports, Nr. 85
[PDF, 3MB]
Tutz, Gerhard und Schauberger, Gunther
(7. Januar 2014):
Extended Ordered Paired Comparison Models with
Application to Football Data from German Bundesliga.
Department of Statistics: Technical Reports, Nr. 151
[PDF, 538kB]
Tutz, Gerhard und Schauberger, Gunther
(7. Dezember 2012):
A Penalty Approach to Differential Item
Functioning in Rasch Models.
Department of Statistics: Technical Reports, Nr. 134
[PDF, 588kB]
Tutz, Gerhard und Schauberger, Gunther
(2. April 2012):
Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs.
Department of Statistics: Technical Reports, Nr. 117
[PDF, 975kB]
Tutz, Gerhard und Schauberger, Gunther
(24. September 2018):
Uncertainty as Response Style in Latent Trait Models.
Department of Statistics: Technical Reports, Nr.
217,
[PDF, 543kB]
Tutz, Gerhard; Schauberger, Gunther und Berger, Moritz
(23. August 2016):
Response Styles in the Partial Credit Model.
Department of Statistics: Technical Reports, Nr. 196
[PDF, 770kB]
Tutz, Gerhard und Schneider, Micha
(24. Februar 2017):
Mixture Models for Ordinal Responses with a Flexible Uncertainty Component.
Department of Statistics: Technical Reports, Nr. 203
[PDF, 575kB]
Tutz, Gerhard; Schneider, Micha; Iannario, Maria und Piccolo, Domenico
(16. Dezember 2014):
Mixture Models for Ordinal Responses to Account for Uncertainty of Choice.
Department of Statistics: Technical Reports, Nr. 175
[PDF, 597kB]
Ulbricht, Jan und Tutz, Gerhard
(2011):
Combining Quadratic Penalization and Variable Selection via Forward Boosting.
Department of Statistics: Technical Reports, Nr. 99
[PDF, 1MB]
Ulbricht, Jan und Tutz, Gerhard
(11. Dezember 2007):
Boosting Correlation Based Penalization in Generalized Linear Models.
Department of Statistics: Technical Reports, Nr. 9
[PDF, 718kB]
Unkel, Steffen; Gower, John C. und Trendafilov, Nickolay T.
(10. Mai 2013):
On the Procrustean analogue of individual differences scaling (INDSCAL).
Department of Statistics: Technical Reports, Nr. 144
[PDF, 933kB]
Walter, Gero
(4. Oktober 2012):
A Technical Note on the Dirichlet-Multinomial Model. The Dirichlet Distribution as the Canonically Constructed Conjugate Prior.
Department of Statistics: Technical Reports, Nr. 131
[PDF, 432kB]
Walter, Gero und Augustin, Thomas
(9. September 2009):
Bayesian Linear Regression. Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict.
Department of Statistics: Technical Reports, Nr. 69
[PDF, 337kB]
Wiencierz, Andrea; Greven, Sonja und Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487
(6. Juni 2011):
Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure.
Department of Statistics: Technical Reports, Nr. 109
[PDF, 433kB]
ORCID: https://orcid.org/0000-0002-6372-2487
(6. Juni 2011):
Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure.
Department of Statistics: Technical Reports, Nr. 109
[PDF, 433kB]
Wißmann, Malte; Toutenburg, Helge und ---, Shalabh
(10. Dezember 2007):
Role of Categorical Variables in Multicollinearity in the Linear Regression Model.
Department of Statistics: Technical Reports, Nr. 8
[PDF, 844kB]
Zahid, Faisal Maqbool
(2011):
Ordinal Ridge Regression with Categorical Predictors.
Department of Statistics: Technical Reports, Nr. 101
[PDF, 284kB]
Zahid, Faisal Maqbool und Heumann, Christian
(2011):
Regularized Proportional Odds Models.
Department of Statistics: Technical Reports, Nr. 103
[PDF, 414kB]
Zahid, Faisal Maqbool und Tutz, Gerhard
(2011):
Proportional Odds Models with High-dimensional Data Structure.
Department of Statistics: Technical Reports, Nr. 100
[PDF, 989kB]
Zahid, Faisal Maqbool und Tutz, Gerhard
(2010):
Multinomial Logit Models with Implicit Variable Selection.
Department of Statistics: Technical Reports, Nr. 89
[PDF, 461kB]
Zahid, Faisal Maqbool und Tutz, Gerhard
(September 2009):
Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints.
Department of Statistics: Technical Reports, Nr. 67
[PDF, 287kB]
Buchbeitrag
Leisch, Friedrich
(2008):
Creating R Packages: A Tutorial.
In: Brito, Paula (Hrsg.):
Compstat 2008 - Proceedings in Computational Statistics. Heidelberg, Germany: Physica-Verlag.
[PDF, 400kB]
Leisch, Friedrich
(2008):
Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models.
In: Brito, Paula (Hrsg.):
Compstat 2008 - Proceedings in Computational Statistics. Heidelberg, Germany: Physica-Verlag. S. 385-396
[PDF, 412kB]
Konferenzbeitrag
Guillemot, Vincent; Jelizarow, Monika; Tenenhaus, Arthur und Boulesteix, Anne-Laure
(August 2011):
SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data.
58th World Statistics Congress of the International Statistical Institute (ISI), Dublin, 21st to the 26th August.
[PDF, 483kB]
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