Publikationen
Buch / Monografie
Steinwart, Ingo; Christmann, Andreas
Support Vector Machines
New York : Springer, 2008. - 601 S. . - (Information Science and Statistics)
doi:10.1007/978-0-387-77242-4 ...
Christmann, Andreas; Weihs, Claus
Data Mining und Statistik in Hochschule und Wirtschaft : Proceedings der 6. Konferenz der ...
Aachen : Shaker, 2003. - 396 S.
http://www.shaker.de/de/content/catalogue/index.as ...
Referierte Beiträge in Zeitschriften (begutachtet)
Köhler, Hannes
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Ker ...
In: Journal of Machine Learning Research Bd. 25 (2024) Heft 213. - S. 1-33
https://www.jmlr.org/papers/v25/23-0397.html
Köhler, Hannes
Lp- and Risk Consistency of Localized SVMs
In: Neurocomputing Bd. 598 (2024)
doi:10.1016/j.neucom.2024.128060 ...
Guo, Zheng-Chu; Christmann, Andreas; Shi, Lei
Optimality of Robust Online Learning
In: Foundations of Computational Mathematics (2023)
doi:10.1007/s10208-023-09616-9 ...
Köhler, Hannes; Christmann, Andreas
Total Stability of SVMs and Localized SVMs
In: Journal of Machine Learning Research Bd. 23 (2022) Heft 100. - S. 1-41
http://jmlr.org/papers/v23/21-0129.html
Christmann, Andreas; Xiang, Dao-Hong; Zhou, Ding-Xuan
Total stability of kernel methods
In: Neurocomputing Bd. 289 (2018) . - S. 101-118
doi:10.1016/j.neucom.2018.02.009 ...
Dumpert, Florian; Christmann, Andreas
Universal consistency and robustness of localized support vector machines
In: Neurocomputing Bd. 315 (2018) . - S. 96-106
doi:10.1016/j.neucom.2018.06.061 ...
Dumpert, Florian; Beck, Martin
Einsatz von Machine-Learning-Verfahren in amtlichen Unternehmensstatistiken
In: AStA Wirtschafts- und Sozialstatistisches Archiv Bd. 11 (2017) . - S. 83-106
doi:10.1007/s11943-017-0208-6 ...
Stein, Manuel S.; Nossek, Josef A.
A pessimistic approximation for the Fisher information measure
In: IEEE Transactions on Signal Processing Bd. 65 (2017) Heft 2. - S. 386-396
doi:10.1109/TSP.2016.2617824 ...
Strohriegl, Katharina; Hable, Robert
Qualitative robustness of estimators on stochastic processes
In: Metrika Bd. 79 (2016) . - S. 895-917
doi:10.1007/s00184-016-0582-z ...
Christmann, Andreas; Dumpert, Florian; Xiang, Dao-Hong
On extension theorems and their connection to universal consistency in machine learning
In: Analysis and Applications Bd. 14 (2016) Heft 6. - S. 795-808
doi:10.1142/S0219530516400029 ...
Christmann, Andreas; Zhou, Ding-Xuan
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels
In: Journal of Complexity Bd. 37 (2016) . - S. 1-33
doi:10.1016/j.jco.2016.07.001 ...
Christmann, Andreas; Zhou, Ding-Xuan
Learning rates for the risk of kernel-based quantile regression estimators in additive mod ...
In: Analysis and Applications Bd. 14 (2016) Heft 3. - S. 449-477
doi:10.1142/S0219530515500050 ...
Boulesteix, Anne-Laure; Hable, Robert; Lauer, Sabine; Eugster, Manuel J. A.
A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies
In: American Statistician Bd. 69 (2015) Heft 3. - S. 201-212
doi:10.1080/00031305.2015.1005128 ...
Rez.: AMS MatSciNet
Hable, Robert; Christmann, Andreas
Estimation of scale functions to model heteroscedasticity by regularised kernel-based quan ...
In: Journal of Nonparametric Statistics Bd. 26 (2014) Heft 2. - S. 219-239
doi:10.1080/10485252.2013.875547 ...
Škulj, Damjan; Hable, Robert
Coefficients of ergodicity for Markov chains with uncertain parameters
In: Metrika Bd. 76 (2013) . - S. 107-133
doi:10.1007/s00184-011-0378-0 ...
Rez.: AMS MatSciNet
Birke, Melanie; Neumeyer, Natalie
Testing monotonicity of regression functions : an empirical process approach
In: Scandinavian Journal of Statistics Bd. 40 (2013) Heft 3. - S. 438-454
doi:10.1111/j.1467-9469.2012.00820.x ...
Volgushev, Stanislav; Birke, Melanie; Dette, Holger; Neumeyer, Natalie
Significance testing in quantile regression
In: Electronic Journal of Statistics Bd. 7 (2013) . - S. 105-145
doi:10.1214/12-EJS765 ...
Hable, Robert
Universal consistency of localized versions of regularized kernel methods
In: Journal of Machine Learning Research Bd. 14 (2013) Heft 1. - S. 153-186
http://www.jmlr.org/papers/volume14/hable13a/hable ...
Rez.: AMS MatSciNet
Hable, Robert
Asymptotic normality of support vector machine variants and other regularized kernel metho ...
In: Journal of Multivariate Analysis Bd. 106 (2012) . - S. 92-117
doi:10.1016/j.jmva.2011.11.004 ...
Rez.: AMS MatSciNet
Christmann, Andreas; Hable, Robert
Consistency of support vector machines using additive kernels for additive models
In: Computational Statistics & Data Analysis Bd. 56 (2012) Heft 4. - S. 854-873
doi:10.1016/j.csda.2011.04.006 ...
Birke, Melanie; Bissantz, Nicolai
Testing for symmetries in multivariate inverse problems
In: Journal of Multivariate Analysis Bd. 109 (2012) . - S. 236-253
doi:10.1016/j.jmva.2012.03.008 ...
Hable, Robert; Christmann, Andreas
On Qualitative Robustness of Support Vector Machines
In: Journal of Multivariate Analysis Bd. 102 (2011) Heft 6. - S. 993-1007
doi:10.1016/j.jmva.2011.01.009 ...
Steinwart, Ingo; Christmann, Andreas
Estimating conditional quantiles with the help of the pinball loss
In: Bernoulli Bd. 17 (2011) Heft 1. - S. 211-225
doi:10.3150/10-BEJ267 ...
Birke, Melanie; Dette, Holger; Stahljans, Kristin
Testing symmetry of a nonparametric bivariate regression function
In: Journal of Nonparametric Statistics Bd. 23 (2011) Heft 2. - S. 547-565
doi:10.1080/10485252.2010.539687 ...
Augustin, Thomas; Hable, Robert
On the impact of robust statistics on imprecise probability models : a review
In: Structural Safety Bd. 32 (2010) Heft 6. - S. 358-365
doi:10.1016/j.strusafe.2010.06.002 ...
Debruyne, Michiel; Christmann, Andreas; Hubert, Mia; Suykens, John
Robustness of Reweighted Kernel Based Regression
In: Journal of Multivariate Analysis Bd. 101 (2010) Heft 2. - S. 447-463
doi:10.1016/j.jmva.2009.09.007 ...
Birke, Melanie; Bissantz, Nicolai; Holzmann, Hajo
Confidence bands for inverse regression models
In: Inverse Problems Bd. 26 (2010) Heft 11
doi:10.1088/0266-5611/26/11/115020 ...
Hable, Robert; Ruckdeschel, Peter; Rieder, Helmut
Optimal robust influence functions in semiparametric regression
In: Journal of Statistical Planning and Inference Bd. 140 (2010) Heft 1. - S. 226-245
doi:10.1016/j.jspi.2009.07.010 ...
Hable, Robert
Minimum distance estimation in imprecise probability models
In: Journal of Statistical Planning and Inference Bd. 140 (2010) Heft 2. - S. 461-479
doi:10.1016/j.jspi.2009.07.025 ...
Rez.: AMS MatSciNet
Hable, Robert
A Minimum Distance Estimator in an Imprecise Probability Model : Computational Aspects and ...
In: International Journal of Approximate Reasoning Bd. 51 (2010) Heft 9. - S. 1114-1128
doi:10.1016/j.ijar.2010.08.003 ...
6th International Symposium on Imprecise Probability: Theories and Applications ;
ISIPTA, Durham, United Kingdom
Christmann, Andreas; van Messem, Arnout; Steinwart, Ingo
On consistency and robustness properties of support vector machines for heavy-tailed distr ...
In: Statistics and Its Interface Bd. 2 (2009) Heft 3. - S. 311-327
doi:10.4310/SII.2009.v2.n3.a5 ...
Hable, Robert
Finite approximations of data-based decision problems under imprecise probabilities
In: International Journal of Approximate Reasoning Bd. 50 (2009) Heft 7. - S. 1115-1128
doi:10.1016/j.ijar.2009.05.003 ...
Rez.: AMS MatSciNet
Birke, Melanie
Shape constrained kernel density estimation
In: Journal of Statistical Planning and Inference Bd. 139 (2009) Heft 8. - S. 2851-2862
doi:10.1016/j.jspi.2009.01.007 ...
Birke, Melanie; Dette, Holger
A note on some random orthogonal polynomials on a compact interval
In: Proceedings of the American Mathematical Society Bd. 137 (2009) Heft 10. - S. 3511-3522
doi:10.1090/S0002-9939-09-09933-X ...
Christmann, Andreas; Shen, Xiaotong
Editorial : On the interface of statistics and machine learning
In: Statistics and Its Interface Bd. 2 (2009) Heft 3. - S. 255-256
http://intlpress.com/site/pub/files/_fulltext/jour ...
Birke, Melanie; Pilz, Kay F.
Nonparametric Option Pricing with No-Arbitrage Constraints
In: Journal of Financial Econometrics Bd. 7 (2009) Heft 2. - S. 53-76
Birke, Melanie
Central limit theorems for the integrated squared error of derivative estimators
In: Statistics & Probability Letters Bd. 78 (2008) Heft 13. - S. 1903-1913
doi:10.1016/j.spl.2008.01.058 ...
Christmann, Andreas; Steinwart, Ingo
Consistency of kernel based quantile regression
In: Applied Stochastic Models in Business and Industry Bd. 24 (2008) Heft 2. - S. 171-183
doi:10.1002/asmb.700 ...
Birke, Melanie; Dette, Holger
A note on estimating a smooth monotone regression by combining kernel and density estimate ...
In: Journal of Nonparametric Statistics Bd. 20 (2008) Heft 8. - S. 679-691
doi:10.1080/10485250802445399 ...
Christmann, Andreas; van Messem, Arnout
Bouligand Derivatives and Robustness of Support Vector Machines for Regression
In: Journal of Machine Learning Research Bd. 9 (2008) Heft 6. - S. 915-936
http://www.jmlr.org/papers/volume9/christmann08a/c ...
Birke, Melanie; Dette, Holger
Estimating a convex function in nonparametric regression
In: Scandinavian Journal of Statistics Bd. 34 (2007) Heft 2. - S. 384-404
doi:10.1111/j.1467-9469.2006.00534.x ...
Christmann, Andreas; Steinwart, Ingo
Consistency and robustness of kernel-based regression in convex risk minimization
In: Bernoulli Bd. 13 (2007) Heft 3. - S. 799-819
doi:10.3150/07-BEJ5102 ...
Birke, Melanie; Dette, Holger
Testing strict monotonicity in nonparametric regression
In: Mathematical Methods of Statistics Bd. 16 (2007) Heft 2. - S. 110-123
doi:10.3103/S1066530707020032 ...
Vandewalle, B.; Beirlant, J.; Christmann, Andreas; Hubert, M.
A Robust Estimator for the Tail Index of Pareto-type Distributions
In: Computational Statistics & Data Analysis Bd. 51 (2007) Heft 12. - S. 6252-6258
doi:10.1016/j.csda.2007.01.003 ...
Christmann, Andreas; Steinwart, Ingo; Hubert, Mia
Robust Learning from Bites for Data Mining
In: Computational Statistics & Data Analysis Bd. 52 (2007) Heft 1. - S. 347-361
doi:10.1016/j.csda.2006.12.009 ...
Schmieder, K.; Moller, F.; Engelhardt, Martin; Scholz, M.; Schregel, W.; Christmann, Andreas; Harders, A.
Dynamic cerebral autoregulation in patients with ruptured and unruptured aneurysms after i ...
In: Zentralblatt für Neurochirurgie Bd. 67 (2006) Heft 2. - S. 81-87
doi:10.1055/s-2006-933374 ...
Engelhardt, Martin; Bast, P.; Jeblink, N.; Lauer, W.; Popovic, A.; Eufinger, H.; Scholz, M.; Christmann, Andreas; Harders, A.; Radermacher, K.; Schmieder, K.
Analysis of surgical management of calvarian tumours for the design of a robot-assisted tr ...
In: Minimally Invasive Neurosurgery Bd. 49 (2006) Heft 2. - S. 98-103
doi:10.1055/s-2006-932173 ...
Christmann, Andreas; van Aelst, Stefan
Robust estimation of Cronbach's alpha
In: Journal of Multivariate Analysis Bd. 97 (2006) Heft 7. - S. 1660-1674
doi:10.1016/j.jmva.2005.05.012 ...
Christmann, Andreas
On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data
In: Acta Mathematicae Applicatae Sinica Bd. 21 (2005) Heft 2. - S. 193-208
doi:10.1007/s10255-005-0229-8 ...
Christmann, Andreas; Steinwart, Ingo
On robust properties of convex risk minimization methods for pattern recognition
In: Journal of Machine Learning Research Bd. 5 (2004) . - S. 1007-1034
http://www.jmlr.org/papers/volume5/christmann04a/c ...
Christmann, Andreas
An approach to model complex high-dimensional insurance data
In: Allgemeines Statistisches Archiv Bd. 88 (2004) Heft 4. - S. 375-396
doi:10.1007/s101820400178 ...
Rousseeuw, Peter J.; Christmann, Andreas
Robustness against separation and outliers in logistic regression
In: Computational Statistics & Data Analysis Bd. 43 (2003) Heft 3. - S. 315-332
doi:10.1016/S0167-9473(02)00304-3 ...
Christmann, Andreas; Fischer, Paul; Joachims, Thorsten
Comparison between various regression depth methods and the support vector machine to appr ...
In: Computational Statistics Bd. 17 (2002) Heft 2. - S. 273-287
doi:10.1007/s001800200106 ...
Jäger, Horst J.; Mathias, Klaus; Hauth, Elke; Drescher, Robert; Gissler, Hans M.; Hennigs, Svenja P.; Christmann, Andreas
Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in ...
In: American Journal of Neuroradiology Bd. 23 (2002) . - S. 200-207
http://www.ajnr.org/content/23/2/200.full.pdf+html ...
Christmann, Andreas; Rousseeuw, Peter J.
Measuring overlap in binary regression
In: Computational Statistics & Data Analysis Bd. 37 (2001) Heft 1. - S. 65-75
doi:10.1016/S0167-9473(00)00063-3 ...
Hennigs, Svenja P.; Garmer, Marietta; Jäger, Horst J.; Classen, Reinhard; Jacobs, Andreas; Gissler, Hans M.; Christmann, Andreas; Mathias, Klaus
Digital chest radiography with a large-area flat panel silicon X-ray detector : clinical c ...
In: European Radiology Bd. 11 (2001) Heft 9. - S. 1688-1696
doi:10.1007/s003300000795 ...
Garmer, Marietta; Hennigs, Svenja P.; Jäger, Horst J.; Schrick, Felicitas; van de Loo, Thomas; Jacobs, Andreas; Hanusch, Axel; Christmann, Andreas; Mathias, Klaus
Digital Radiography Versus Conventional Radiography in Chest Imaging : Diagnostic Performa ...
In: American Journal of Roentgenology Bd. 174 (2000) Heft 1. - S. 75-80
doi:10.2214/ajr.174.1.1740075 ...
Berkenberg, Mechthild; Christmann, Andreas; Schröder, Kurt
Stichprobenrevision am Freihandbestand der Universitätsbibliothek Dortmund
In: Bibliotheksdienst Bd. 33 (1999) Heft 10. - S. 1657-1660
doi:10.1515/bd.1999.33.10.1657 ...
Christmann, Andreas
On group sequential tests based on robust location and scale estimators in the two-sample ...
In: Computational Statistics Bd. 14 (1999) Heft 3. - S. 339-353
doi:10.1007/s001800050020 ...
Christmann, Andreas
Positive breakdown point estimation in categorical regression models
In: Bulletin of the International Statistical Institute ISI Bd. 58 (1998) . - S. 197-198
http://www.stat.fi/isi99/proceedings/arkisto/varas ...
Jäger, Horst J.; Kolb, Stefan; Mair, Thomas; Geller, Marius; Christmann, Andreas; Kinne, Rolf K.; Mathias, Klaus
In Vitro Model for the Evaluation of Inferior Vena Cava Filters : Effect of Experimental P ...
In: Journal of Vascular and Interventional Radiology Bd. 9 (1998) Heft 2. - S. 295-304
doi:10.1016/S1051-0443(98)70272-6 ...
Jäger, Horst J.; Mair, Thomas; Geller, Marius; Kinne, Rolf K.; Christmann, Andreas; Mathias, Klaus
A Physiologic In Vitro Model of the Inferior Vena Cava with a Computer-Controlled Flow Sys ...
In: Investigative Radiology Bd. 32 (1997) Heft 9. - S. 511-522
http://journals.lww.com/investigativeradiology/Abs ...
Christmann, Andreas
Least median of weighted squares in logistic regression with large strata
In: Biometrika Bd. 81 (1994) Heft 2. - S. 413-417
doi:10.1093/biomet/81.2.413 ...
Christmann, Andreas; Gather, U.; Scholz, G.
Some properties of the length of the shortest half
In: Statistica Neerlandica Bd. 48 (1994) Heft 3. - S. 209-213
doi:10.1111/j.1467-9574.1994.tb01444.x ...
Christmann, Andreas; Gather, U.
Significance levels of linear rank tests using Edgeworth Expansions
In: Statistica Neerlandica Bd. 45 (1991) Heft 4. - S. 379-389
doi:10.1111/j.1467-9574.1991.tb01317.x ...
Beiträge in Zeitschriften (nicht begutachtet)
Finke, Claudia; Dumpert, Florian; Beck, Martin
Verdienstunterschiede zwischen Männern und Frauen : eine Ursachenanalyse auf Grundlage der ...
In: WISTA Wirtschaft und Statistik (2017) Heft 2. - S. 43-62
https://www.destatis.de/DE/Publikationen/Wirtschaf ...
Feuerhake, Jörg; Dumpert, Florian
Erkennung nicht relevanter Unternehmen in den Handwerksstatistiken
In: WISTA Wirtschaft und Statistik (2016) Heft 2. - S. 79-94
https://www.destatis.de/DE/Publikationen/Wirtschaf ...
Dumpert, Florian; von Eschwege, Katja; Beck, Martin
Einsatz von Support Vector Machines bei der Sektorzuordnung von Unternehmen
In: WISTA Wirtschaft und Statistik (2016) Heft 1. - S. 87-97
https://www.destatis.de/DE/Publikationen/Wirtschaf ...
Beiträge in Sammelbänden (begutachtet)
Gensler, Patrick; Christmann, Andreas
On the Robustness of Kernel-Based Pairwise Learning
In: Steland, Ansgar ; Tsui, Kwok-Leung (Hrsg.): Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology - Cham: Springer, 2022. - S. 111-153
doi:10.1007/978-3-031-07155-3_5 ...
Stein, Manuel S.
Performance analysis for time-of-arrival estimation with oversampled low-complexity 1-bit ...
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings - Piscataway, NJ: IEEE, 2017. - S. 4491-4495
doi:10.1109/ICASSP.2017.7953006 ...
Huntley, Nathan; Hable, Robert; Troffaes, Matthias C. M.
Decision making
In: Augustin, Thomas ; Coolen, Franciscus P. A. ; Cooman, Gert de ; Troffaes, Matthias C. M. (Hrsg.): An introduction to imprecise probabilities - Chichester: Wiley, 2014. - S. 190-206 . - (Wiley Series in Probability and Statistics)
doi:10.1002/9781118763117.ch8 ...
Troffaes, Matthias C. M.; Hable, Robert
Computation
In: Augustin, Thomas ; Coolen, Franciscus P. A. ; Cooman, Gert de ; Troffaes, Matthias C. M. (Hrsg.): Introduction to imprecise probabilities - Chichester: Wiley, 2014. - S. 329-337 . - (Wiley Series in Probability and Statistics)
doi:10.1002/9781118763117.ch16 ...
Christmann, Andreas; Salibián-Barrera, Matías; van Aelst, Stefan
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods
Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong, China - The Hague, The Netherlands: International Statistical Institute, 2013. - S. 1802-1807
Christmann, Andreas; Salibián-Barrera, Matías; van Aelst, Stefan
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods
In: Becker, Claudia ; Fried, Roland ; Kuhnt, Sonja (Hrsg.): Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather - Heidelberg ; New York: Springer, 2013. - S. 263-278
doi:10.1007/978-3-642-35494-6_16 ...
Hable, Robert; Christmann, Andreas
Robustness Versus Consistency in Ill-Posed Classification and Regression Problems
In: Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio (Hrsg.): Classification and Data Mining - Berlin: Springer, 2013. - S. 27-35
doi:10.1007/978-3-642-28894-4_4 ...
Christmann, Andreas; Hable, Robert
On the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods
Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong - The Hague, The Netherlands: International Statistical Institute, 2013. - S. 3779-3784
Christmann, Andreas; Hable, Robert
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kerne ...
In: Schölkopf, Bernhard ; Luo, Zhiyuan ; Vovk, Vladimir (Hrsg.): Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik - Berlin ; New York: Springer, 2013. - S. 231-244
doi:10.1007/978-3-642-41136-6_20 ...
Troffaes, Matthias C. M.; Hable, Robert
Robustness of natural extension
In: Coolen, Frank (Hrsg.): Imprecise Probability : Theories and Applications. Proceedings of the Seventh International Symposium (ISIPTA 11) - Innsbruck, 2011. - S. 361-370
http://www.sipta.org/isipta11/proceedings/papers/s ...
Christmann, Andreas; Steinwart, Ingo
Universal Kernels on Non-Standard Input Spaces
In: Lafferty, John D. ; Williams, C. K. I. ; Shawe-Taylor, J. ; Zemel, R. S. ; Culotta, A. (Hrsg.): Advances in Neural Information Processing Systems 23. Volume 1 - Red Hook, NY: Curran, 2010. - S. 406-414
Augustin, Thomas; Hable, Robert
On the impact of robust statistics on imprecise probability models : a review
Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems : Proceedings of the 10th International Conference on Structural Safety and Reliability, ICOSSAR 13-17 September 2009, Osaka, Japan - Boca Raton: CRC Press, 2009
Steinwart, Ingo; Christmann, Andreas
Sparsity of SVMs that use the epsilon-insensitive loss
In: Koller, Daphne ; Schuurmans, D. ; Bengio, Y. ; Bottou, L. (Hrsg.): Advances in Neural Information Processing Systems 21 - Red Hook, NY: Curran, 2009. - S. 1569-1576
http://papers.nips.cc/paper/3466-sparsity-of-svms- ...
Steinwart, Ingo; Christmann, Andreas
Fast learning from non-i.i.d. observations
In: Bengio, Yoshua ; Schuurmans, D. ; Lafferty, J. D. ; Williams, C. K. I. ; Culotta, A. (Hrsg.): Advances in Neural Information Processing Systems 22. Volume 3 - Red Hook, NY: Curran, 2009. - S. 1768-1776
https://papers.nips.cc/paper/3736-fast-learning-fr ...
Steinwart, Ingo; Christmann, Andreas
How SVMs can estimate quantiles and the median
In: Platt, John C. ; Koller, Daphne ; Singer, Y. ; Roweis, S. (Hrsg.): Advances in Neural Information Processing Systems 20. Volume 1 - Cambridge, MA: MIT Press, 2008. - S. 305-312
http://papers.nips.cc/paper/3180-how-svms-can-esti ...
Christmann, Andreas
On Properties of Support Vector Machines for Pattern Recognition in Finite Samples
In: Hubert, Mia ; Pison, Greet ; Struyf, Anja ; Van Aelst, Stefan (Hrsg.): Theory and Applications of Recent Robust Methods - Basel: Birkhäuser Basel, 2004. - S. 49-58 . - (Statistics for Industry and Technology)
doi:10.1007/978-3-0348-7958-3_5 ...
Christmann, Andreas
Generalisierte lineare Modelle mit SAS 8e
In: Becker, Christine ; Redlich, Heinz (Hrsg.): Data Mining und Statistik in Hochschule und Wirtschaft : Proceedings der 7. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KSFE); [20. Februar - 21. Februar 2003, Universität Potsdam] - Aachen: Shaker, 2003. - S. 22-36
Christmann, Andreas
Classification based on the support vector machine and on regression depth
In: Dodge, Yadolah (Hrsg.): Statistical Data Analysis Based on the L_1-Norm and Related Methods - Basel: Birkhäuser Basel, 2002. - S. 341-352 . - (Statistics for Industry and Technology)
doi:10.1007/978-3-0348-8201-9_28 ...
Christmann, Andreas; Fischer, Paul; Joachims, Thorsten
Classification based on the support vector machine, regression depth, and discriminant ana ...
In: Härdle, Wolfgang ; Rönz, Bernd (Hrsg.): COMPSTAT : Proceedings in Computational Statistics. 15th symposium held in Berlin - Heidelberg: Physica, 2002. - S. 225-230
doi:10.1007/978-3-642-57489-4_30 ...
Christmann, Andreas
Robust Estimation in Generalized Linear Models
In: Kunert, Joachim ; Trenkler, Götz (Hrsg.): Mathematical Statistics with Applications in Biometry : Festschrift in honour of Prof. Dr. Siegfried Schach - Köln: Eul, 2001. - S. 215-230
Christmann, Andreas
SAS-Kurse am HRZ der Universität Dortmund : Ein Erfahrungsbericht
In: Ortseifen, Carina (Hrsg.): Proceedings der 3. Konferenz für SAS-Anwender in Forschung und Entwicklung (KSFE) - Heidelberg: Ruprecht-Karls-Universität, 1999. - S. 67-68
http://de.saswiki.org/images/0/01/3.KSFE-1999-Chri ...
Christmann, Andreas
Statistische Analysen mit SAS und LogXact
In: Ortseifen, Carina (Hrsg.): Proceedings der 3. Konferenz für SAS-Anwender in Forschung und Entwicklung (KSFE); 25./26. Februar 1999, Ruprecht-Karls-Universität Heidelberg - Heidelberg: Ruprecht-Karls-Universität, 1999. - S. 69-71
Christmann, Andreas
On estimators with positive breakdown point in regression models for grouped data
Data Science, Classification, and Related Methods : VI conference of the International Federation of Classification Societies - Roma: Istituto Nazionale di Statistica, 1998. - S. 66-69
Christmann, Andreas; Schwichtenberg, Günter
KIT200x : Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechni ...
In: Grundel, Herbert (Hrsg.): Struktur und Leistungsspektrum innovativer Rechenzentren : Vorträge der 12. GI-Fachtagung über Rechenzentren am 19. und 20. Juni 1997 in Stuttgart-Möhringen - Heidelberg: Hüthig, 1997. - S. 1-26
Christmann, Andreas
High breakdown point estimators for regression models with large strata
In: Pratt, Albert ; Ripoll, Enric (Hrsg.): COMPSTAT : proceedings in computational statistics ; 12th symposium held in Barcelona, Spain, 1996 - Barcelona: UPC, 1996. - S. 31-32
Christmann, Andreas
High breakdown point estimators in logistic regression
In: Rieder, Helmut (Hrsg.): Robust Statistics, Data Analysis, and Computer Intensive Methods : In Honor of Peter Huber's 60th Birthday - New York: Springer, 1996. - S. 79-89 . - (Lecture Notes in Statistics; 109)
http://www.springer.com/de/book/9780387946603
Christmann, Andreas
Ausreißeridentifikaton im logistischen Regressionsmodell
In: Pöppl, Siegfried ; Lipinski, H.-G. ; Mansky, T. (Hrsg.): Medizinische Informatik : Ein integrierender Teil arztunterstützender Technologien: Lübeck, September 1993 - München: MMV Medizin Verlag GmbH, 1994. - S. 478-481 . - (Medizinische Informatik, Biometrie und Epidemiologie; 77)
Referierte Konferenzbeiträge und andere Vorträge (begutachtet)
Christmann, Andreas
On the bootstrap approach for support vector machines and related kernel based methods
2013
59th International Statistical Institute World Statistics Congress (ISI), Hong Kong, China
Kroupa, Tomáš; Hable, Robert
Structure of the Set of Belief Functions Generated by a Random Closed Interval
2010
BELIEF 1: International Workshop on the Theory of Belief Functions, Brest, Frankreich
Christmann, Andreas; Steinwart, Ingo
On Consistency and Robustness of Support Vector Machines
2009
57th Session of the International Statistical Institute (ISI-2009), Durban, South Africa
Škulj, Damjan; Hable, Robert
Coefficients of ergodicity for imprecise Markov chaines
2009
http://www.sipta.org/isipta09/proceedings/papers/s ...
6th International Symposium on Imprecise Probability: Theories and Applications ;
ISIPTA, Durham, United Kingdom
Preprint, Postprint, Working paper, Diskussionspapier
Christmann, Andreas; Lei, Yunwen
Bootstrap SGD: Algorithmic Stability and Robustness
arXiv, 2024. - 20 S.
doi:10.48550/arXiv.2409.01074 ...
Köhler, Hannes
Lp- and Risk Consistency of Localized SVMs
Bayreuth, 2023. - 29 S.
doi:10.48550/arXiv.2305.09385 ...
Guo, Zheng-Chu; Christmann, Andreas; Shi, Lei
Optimality of Robust Online Learning
Fudan University Shanghai, China, 2023. - 26 S.
doi:10.48550/arXiv.2304.10060 ...
Köhler, Hannes
On the Connection between Lₚ and Risk Consistency and its Implications on Regularized Kern ...
Bayreuth, 2023. - 33 S.
doi:10.48550/arXiv.2303.15210 ...
Köhler, Hannes; Christmann, Andreas
Total Stability of SVMs and Localized SVMs
Bayreuth, 2021. - 30 S.
https://arxiv.org/abs/2101.12678
Gensler, Patrick; Christmann, Andreas
On the robustness of kernel-based pairwise learning
Bayreuth, 2020
https://arxiv.org/pdf/2010.15527
Dumpert, Florian
Quantitative Robustness of Localized Support Vector Machines
Bayreuth, 2019
https://arxiv.org/pdf/1903.01334v1.pdf
Dumpert, Florian
Universal Consistency and Robustness of Localized Support Vector Machines
Bayreuth, 2017
https://arxiv.org/abs/1703.06528
Hable, Robert
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statist ...
Ithaka, New York, : Cornell University, 2014
http://arxiv.org/pdf/1305.1137v1.pdf
Hable, Robert
Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regu ...
Ithaca, New York, : Cornell University, 2013
http://arxiv.org/pdf/1305.1137v1.pdf
Christmann, Andreas; Hable, Robert
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kerne ...
Cornell University Library, arXiv, : Cornell University Library, 2013. - 13 S.
http://arxiv.org/pdf/1301.6944v1.pdf
Christmann, Andreas; Salibián-Barrera, Matías; van Aelst, Stefan
On the stability of Bootstrap estimators
Cornell University Library, arXiv, : Cornell University Library, 2011. - 12 S.
http://arxiv.org/pdf/1111.1876v1.pdf
Projektbericht, Forschungsbericht, Gutachten
Christmann, Andreas
Bias of the Minimum Hellinger distance estimator in Poisson models
Dortmund : Universität, 1993
Christmann, Andreas
A Note on M-Estimators Proposed by Künsch, Stefanski and Carroll
Dortmund : University of Dortmund, Department of Statistics, 1992
Dissertation
Dorn, Manuela
Tests auf Exogenität im funktionalen linearen Regressionsmodell unter schwacher Stationari ...
Bayreuth, 2021. - III, 186 S.
doi:10.15495/EPub_UBT_00005597 ...
(Dissertation, 2021, Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)
Dumpert, Florian
Statistische Eigenschaften lokalisierter maschineller Lernverfahren
Bayreuth, 2020. - ix, 81 S.
doi:10.15495/EPub_UBT_00004600 ...
(Dissertation, 2020, Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)
Baumann, Michael Heinrich
Performance and Effects of Linear Feedback Stock Trading Strategies
Bayreuth, 2018. - 160 S.
http://nbn-resolving.org/urn:nbn:de:bvb:703-epub-3 ...
(Dissertation, 2018, Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)
Strohriegl, Katharina
On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations
Bayreuth, 2018. - IV, 147 S.
http://nbn-resolving.org/urn:nbn:de:bvb:703-epub-3 ...
(Dissertation, 2018, Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)
Gneiting, Tilmann
Symmetric positive definite functions with applications in spatial statistics
1997
(Dissertation, 1997, Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)
Hoffmann, Karin
Approximation von stochastischen Integralgleichungen durch Martingaldifferenzschemata
1987. - 146 S.
(Dissertation, 1987, Universität Bayreuth, Fakultät für Mathematik und Physik)
Milbrodt, Hartmut
Asymptotic normality of families of probability measures
1981
(Dissertation, 1981, Universität Bayreuth, Fakultät für Mathematik und Physik)