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Number of items at this level: 98.

A

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Augustin, Thomas ; Hable, Robert:
On the impact of robust statistics on imprecise probability models : a review.
In: Structural Safety. Vol. 32 (November 2010) Issue 6 . - pp. 358-365.
DOI: https://doi.org/10.1016/j.strusafe.2010.06.002

Augustin, Thomas ; Hable, Robert:
On the impact of robust statistics on imprecise probability models : a review.
In: 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 . - 800 S.

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Baumann, Michael Heinrich:
Performance and Effects of Linear Feedback Stock Trading Strategies.
Bayreuth , 2018 . - 160 p.
( Doctoral thesis, 2018 , Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)

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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. Vol. 69 (27 August 2015) Issue 3 . - pp. 201-212.
DOI: https://doi.org/10.1080/00031305.2015.1005128
Review:

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Berkenberg, Mechthild ; Christmann, Andreas ; Schröder, Kurt:
Stichprobenrevision am Freihandbestand der Universitätsbibliothek Dortmund.
In: Bibliotheksdienst. Vol. 33 (1999) Issue 10 . - pp. 1657-1660.
DOI: https://doi.org/10.1515/bd.1999.33.10.1657

C

Christmann, Andreas ; Xiang, Dao-Hong ; Zhou, Ding-Xuan:
Total stability of kernel methods.
In: Neurocomputing. Vol. 289 (10 May 2018) . - pp. 101-118.
DOI: https://doi.org/10.1016/j.neucom.2018.02.009

Christmann, Andreas ; Zhou, Ding-Xuan:
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels.
In: Journal of Complexity. Vol. 37 (December 2016) Issue 1-33 .
DOI: https://doi.org/10.1016/j.jco.2016.07.001

Christmann, Andreas ; Dumpert, Florian ; Xiang, Dao-Hong:
On extension theorems and their connection to universal consistency in machine learning.
In: Analysis and Applications. Vol. 14 (November 2016) Issue 6 . - pp. 795-808.
DOI: https://doi.org/10.1142/S0219530516400029

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Christmann, Andreas ; Zhou, Ding-Xuan:
Learning rates for the risk of kernel-based quantile regression estimators in additive models.
In: Analysis and Applications. Vol. 14 (2016) Issue 3 . - pp. 449-477.
DOI: https://doi.org/10.1142/S0219530515500050

Christmann, Andreas:
On the bootstrap approach for support vector machines and related kernel based methods.
2013
Event: 59th International Statistical Institute World Statistics Congress (ISI) , 25-30.08.2013 , Hong Kong, China.
(Conference item: Conference , Speech )

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Christmann, Andreas ; Hable, Robert:
On the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
In: Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong. - The Hague, The Netherlands : International Statistical Institute, 2013 . - pp. 3779-3784 . - 6 S.

Christmann, Andreas ; Hable, Robert:
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
In: Schölkopf, Bernhard ; Luo, Zhiyuan ; Vovk, Vladimir (ed.): Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik. - Berlin ; New York : Springer, 2013 . - pp. 231-244
DOI: https://doi.org/10.1007/978-3-642-41136-6_20

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Christmann, Andreas ; Hable, Robert:
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
Cornell University Library, arXiv : Cornell University Library, 2013 . - 13 p.

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Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods.
In: Becker, Claudia ; Fried, Roland ; Kuhnt, Sonja (ed.): Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather. - Heidelberg ; New York : Springer, 2013 . - pp. 263-278 . - X, 379 S.
DOI: https://doi.org/10.1007/978-3-642-35494-6_16

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Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods.
In: Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong, China. - The Hague, The Netherlands : International Statistical Institute, 2013 . - pp. 1802-1807 . - 6 S.

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Christmann, Andreas ; Hable, Robert:
Consistency of support vector machines using additive kernels for additive models.
In: Computational Statistics & Data Analysis. Vol. 56 (2012) Issue 4 . - pp. 854-873.
DOI: https://doi.org/10.1016/j.csda.2011.04.006

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Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
On the stability of Bootstrap estimators.
Cornell University Library, arXiv : Cornell University Library, 2011 . - 12 p.

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. (ed.): Advances in Neural Information Processing Systems 23. Volume 1. - Red Hook, NY : Curran, 2010 . - pp. 406-414

Christmann, Andreas ; Steinwart, Ingo:
On Consistency and Robustness of Support Vector Machines.
2009
Event: 57th Session of the International Statistical Institute (ISI-2009) , 16.-22.08.2009 , Durban, South Africa.
(Conference item: Conference , Speech )

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Christmann, Andreas ; Shen, Xiaotong:
Editorial : On the interface of statistics and machine learning.
In: Statistics and Its Interface. Vol. 2 (2009) Issue 3 . - pp. 255-256.

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Christmann, Andreas ; van Messem, Arnout ; Steinwart, Ingo:
On consistency and robustness properties of support vector machines for heavy-tailed distributions.
In: Statistics and Its Interface. Vol. 2 (2009) Issue 3 . - pp. 311-327.
DOI: https://doi.org/10.4310/SII.2009.v2.n3.a5

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Christmann, Andreas ; van Messem, Arnout:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
In: Journal of Machine Learning Research. Vol. 9 (2008) Issue 6 . - pp. 915-936.

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Christmann, Andreas ; Steinwart, Ingo:
Consistency of kernel based quantile regression.
In: Applied Stochastic Models in Business and Industry. Vol. 24 (2008) Issue 2 . - pp. 171-183.
DOI: https://doi.org/10.1002/asmb.700

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Christmann, Andreas ; Steinwart, Ingo:
Consistency and robustness of kernel-based regression in convex risk minimization.
In: Bernoulli. Vol. 13 (2007) Issue 3 . - pp. 799-819.
DOI: https://doi.org/10.3150/07-BEJ5102

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Christmann, Andreas ; Steinwart, Ingo ; Hubert, Mia:
Robust Learning from Bites for Data Mining.
In: Computational Statistics & Data Analysis. Vol. 52 (2007) Issue 1 . - pp. 347-361.
DOI: https://doi.org/10.1016/j.csda.2006.12.009

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Christmann, Andreas ; van Aelst, Stefan:
Robust estimation of Cronbach's alpha.
In: Journal of Multivariate Analysis. Vol. 97 (2006) Issue 7 . - pp. 1660-1674.
DOI: https://doi.org/10.1016/j.jmva.2005.05.012

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Christmann, Andreas:
On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data.
In: Acta Mathematicae Applicatae Sinica. Vol. 21 (2005) Issue 2 . - pp. 193-208.
DOI: https://doi.org/10.1007/s10255-005-0229-8

Christmann, Andreas:
An approach to model complex high-dimensional insurance data.
In: Allgemeines Statistisches Archiv. Vol. 88 (2004) Issue 4 . - pp. 375-396.
DOI: https://doi.org/10.1007/s101820400178

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Christmann, Andreas:
On Properties of Support Vector Machines for Pattern Recognition in Finite Samples.
In: Hubert, Mia ; Pison, Greet ; Struyf, Anja ; Van Aelst, Stefan (ed.): Theory and Applications of Recent Robust Methods. - Basel : Birkhäuser Basel, 2004 . - pp. 49-58 . - (Statistics for Industry and Technology )
DOI: https://doi.org/10.1007/978-3-0348-7958-3_5

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Christmann, Andreas ; Steinwart, Ingo:
On robust properties of convex risk minimization methods for pattern recognition.
In: Journal of Machine Learning Research. Vol. 5 (2004) . - pp. 1007-1034.

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Christmann, Andreas:
Generalisierte lineare Modelle mit SAS 8e.
In: Becker, Christine ; Redlich, Heinz (ed.): 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 . - pp. 22-36

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Christmann, Andreas:
Classification based on the support vector machine and on regression depth.
In: Dodge, Yadolah (ed.): Statistical Data Analysis Based on the L_1-Norm and Related Methods. - Basel : Birkhäuser Basel, 2002 . - pp. 341-352 . - (Statistics for Industry and Technology )
DOI: https://doi.org/10.1007/978-3-0348-8201-9_28

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Christmann, Andreas ; Fischer, Paul ; Joachims, Thorsten:
Classification based on the support vector machine, regression depth, and discriminant analysis.
In: Härdle, Wolfgang ; Rönz, Bernd (ed.): COMPSTAT : Proceedings in Computational Statistics. 15th symposium held in Berlin. - Heidelberg, New York : Physica, 2002 . - pp. 225-230
DOI: https://doi.org/10.1007/978-3-642-57489-4_30

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Christmann, Andreas ; Fischer, Paul ; Joachims, Thorsten:
Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications.
In: Computational Statistics. Vol. 17 (2002) Issue 2 . - pp. 273-287.
DOI: https://doi.org/10.1007/s001800200106

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Christmann, Andreas ; Rousseeuw, Peter J.:
Measuring overlap in binary regression.
In: Computational Statistics & Data Analysis. Vol. 37 (2001) Issue 1 . - pp. 65-75.
DOI: https://doi.org/10.1016/S0167-9473(00)00063-3

Christmann, Andreas:
Robust Estimation in Generalized Linear Models.
In: Kunert, Joachim ; Trenkler, Götz (ed.): Mathematical Statistics with Applications in Biometry : Festschrift in honour of Prof. Dr. Siegfried Schach. - Köln : Eul, 2001 . - pp. 215-230

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Christmann, Andreas:
On group sequential tests based on robust location and scale estimators in the two-sample problem.
In: Computational Statistics. Vol. 14 (1999) Issue 3 . - pp. 339-353.
DOI: https://doi.org/10.1007/s001800050020

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Christmann, Andreas:
SAS-Kurse am HRZ der Universität Dortmund : Ein Erfahrungsbericht.
In: Ortseifen, Carina (ed.): Proceedings der 3. Konferenz für SAS-Anwender in Forschung und Entwicklung (KSFE). - Heidelberg : Ruprecht-Karls-Universität, 1999 . - pp. 67-68

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Christmann, Andreas:
Statistische Analysen mit SAS und LogXact.
In: Ortseifen, Carina (ed.): 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 . - pp. 69-71 . - VII, 373 S.

Christmann, Andreas:
On estimators with positive breakdown point in regression models for grouped data.
In: International Federation of Classification Societies (ed.): Data Science, Classification, and Related Methods : VI conference of the International Federation of Classification Societies <Rome, 21-24 Juli 1998>. - Roma : Istituto Nazionale di Statistica, 1998 . - pp. 66-69 . - XII, 373 S.

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Christmann, Andreas:
Positive breakdown point estimation in categorical regression models.
In: Bulletin of the International Statistical Institute ISI. Vol. 58 (1998) . - pp. 197-198.

Christmann, Andreas ; Schwichtenberg, Günter:
KIT200x : Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende.
In: Grundel, Herbert (ed.): Struktur und Leistungsspektrum innovativer Rechenzentren : Vorträge der 12. GI-Fachtagung über Rechenzentren am 19. und 20. Juni 1997 in Stuttgart-Möhringen. - Heidelberg : Hüthig, 1997 . - pp. 1-26

Christmann, Andreas:
High breakdown point estimators for regression models with large strata.
In: Pratt, Albert ; Ripoll, Enric (ed.): COMPSTAT : proceedings in computational statistics ; 12th symposium held in Barcelona, Spain, 1996. - Barcelona : UPC, 1996 . - pp. 31-32

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Christmann, Andreas:
High breakdown point estimators in logistic regression.
In: Rieder, Helmut (ed.): Robust Statistics, Data Analysis, and Computer Intensive Methods : In Honor of Peter Huber's 60th Birthday. - New York : Springer, 1996 . - pp. 79-89 . - (Lecture Notes in Statistics ; 109 )

Christmann, Andreas:
Ausreißeridentifikaton im logistischen Regressionsmodell.
In: Pöppl, Siegfried ; Lipinski, H.-G. ; Mansky, T. (ed.): Medizinische Informatik : Ein integrierender Teil arztunterstützender Technologien: Lübeck, September 1993. - München : MMV Medizin Verlag GmbH, 1994 . - pp. 478-481 . - 574 S. . - (Medizinische Informatik, Biometrie und Epidemiologie ; 77 )

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Christmann, Andreas:
Least median of weighted squares in logistic regression with large strata.
In: Biometrika. Vol. 81 (1994) Issue 2 . - pp. 413-417.
DOI: https://doi.org/10.1093/biomet/81.2.413

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Christmann, Andreas ; Gather, U. ; Scholz, G.:
Some properties of the length of the shortest half.
In: Statistica Neerlandica. Vol. 48 (1994) Issue 3 . - pp. 209-213.
DOI: https://doi.org/10.1111/j.1467-9574.1994.tb01444.x

Christmann, Andreas:
Bias of the Minimum Hellinger distance estimator in Poisson models.
Universität Dortmund / Fachbereich Statistik
Dortmund : Universität, 1993 . - 5 [3] Bl. p. - (Forschungsbericht / Universität Dortmund, Fachbereich Statistik ; 93/10 )

Christmann, Andreas:
A Note on M-Estimators Proposed by Künsch, Stefanski and Carroll.
Dortmund : University of Dortmund, Department of Statistics, 1992 . - (Forschungsbericht / Universität Dortmund, Fachbereich Statistik ; 92,5 )

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Christmann, Andreas ; Gather, U.:
Significance levels of linear rank tests using Edgeworth Expansions.
In: Statistica Neerlandica. Vol. 45 (1991) Issue 4 . - pp. 379-389.
DOI: https://doi.org/10.1111/j.1467-9574.1991.tb01317.x

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Dumpert, Florian ; Christmann, Andreas:
Universal consistency and robustness of localized support vector machines.
In: Neurocomputing. Vol. 315 (2018) . - pp. 96-106.
DOI: https://doi.org/10.1016/j.neucom.2018.06.061

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Dumpert, Florian ; Beck, Martin:
Einsatz von Machine-Learning-Verfahren in amtlichen Unternehmensstatistiken.
In: AStA Wirtschafts- und Sozialstatistisches Archiv. Vol. 11 (October 2017) Issue 2 . - pp. 83-106.
DOI: https://doi.org/10.1007/s11943-017-0208-6

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Dumpert, Florian ; von Eschwege, Katja ; Beck, Martin:
Einsatz von Support Vector Machines bei der Sektorzuordnung von Unternehmen.
In: WISTA Wirtschaft und Statistik. (2016) Issue 1 . - pp. 87-97.

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Debruyne, Michiel ; Christmann, Andreas ; Hubert, Mia ; Suykens, John:
Robustness of Reweighted Kernel Based Regression.
In: Journal of Multivariate Analysis. Vol. 101 (2010) Issue 2 . - pp. 447-463.
DOI: https://doi.org/10.1016/j.jmva.2009.09.007

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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 trepanation system.
In: Minimally Invasive Neurosurgery. Vol. 49 (2006) Issue 2 . - pp. 98-103.
DOI: https://doi.org/10.1055/s-2006-932173

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Finke, Claudia ; Dumpert, Florian ; Beck, Martin:
Verdienstunterschiede zwischen Männern und Frauen : eine Ursachenanalyse auf Grundlage der Verdienststrukturerhebung 2014.
In: WISTA Wirtschaft und Statistik. (2017) Issue 2 . - pp. 43-62.

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Feuerhake, Jörg ; Dumpert, Florian:
Erkennung nicht relevanter Unternehmen in den Handwerksstatistiken.
In: WISTA Wirtschaft und Statistik. (2016) Issue 2 . - pp. 79-94.

Fischer, Julia:
Robuste Schätzung im semiparametrischen Mixture-Modell.
Bayreuth , 2006
(Diploma, 2006 , Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik, Lehrstuhl Stochastik)

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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 Performance of a Large-Area Silicon Flat-Panel Detector in a Clinical CT-Controlled Study.
In: American Journal of Roentgenology. Vol. 174 (2000) Issue 1 . - pp. 75-80.
DOI: https://doi.org/10.2214/ajr.174.1.1740075

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Hable, Robert:
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems.
Ithaka, New York : Cornell University, 2014 . - 37 S. - (arXiv.org e-Print Archive )

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Huntley, Nathan ; Hable, Robert ; Troffaes, Matthias C. M.:
Decision making.
In: Augustin, Thomas ; Coolen, Franciscus P. A. ; Cooman, Gert de ; Troffaes, Matthias C. M. (ed.): An introduction to imprecise probabilities. - Chichester : Wiley, 2014 . - pp. 190-206 . - 448 S. . - (Wiley Series in Probability and Statistics )
DOI: https://doi.org/10.1002/9781118763117.ch8

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Hable, Robert ; Christmann, Andreas:
Estimation of scale functions to model heteroscedasticity by regularised kernel-based quantile methods.
In: Journal of Nonparametric Statistics. Vol. 26 (2014) Issue 2 . - pp. 219-239.
DOI: https://doi.org/10.1080/10485252.2013.875547

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Hable, Robert:
Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods.
Ithaca, New York : Cornell University, 2013 . - 37 S. - (arXiv.org e-Print Archive )

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Hable, Robert:
Universal consistency of localized versions of regularized kernel methods.
In: Journal of Machine Learning Research. Vol. 14 (January 2013) . - pp. 153-186.
Review:

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Hable, Robert ; Christmann, Andreas:
Robustness Versus Consistency in Ill-Posed Classification and Regression Problems.
In: Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio (ed.): Classification and Data Mining. - Berlin : Springer, 2013 . - pp. 27-35
DOI: https://doi.org/10.1007/978-3-642-28894-4_4

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Hable, Robert:
Asymptotic normality of support vector machine variants and other regularized kernel methods.
In: Journal of Multivariate Analysis. Vol. 106 (April 2012) . - pp. 92-117.
DOI: https://doi.org/10.1016/j.jmva.2011.11.004
Review:

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Hable, Robert ; Christmann, Andreas:
On Qualitative Robustness of Support Vector Machines.
In: Journal of Multivariate Analysis. Vol. 102 (2011) Issue 6 . - pp. 993-1007.
DOI: https://doi.org/10.1016/j.jmva.2011.01.009

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Hable, Robert:
A Minimum Distance Estimator in an Imprecise Probability Model : Computational Aspects and Applications.
In: International Journal of Approximate Reasoning. Vol. 51 (November 2010) Issue 9 . - pp. 1114-1128.
DOI: https://doi.org/10.1016/j.ijar.2010.08.003

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Hable, Robert:
Minimum distance estimation in imprecise probability models.
In: Journal of Statistical Planning and Inference. Vol. 140 (February 2010) Issue 2 . - pp. 461-479.
DOI: https://doi.org/10.1016/j.jspi.2009.07.025
Review:

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Hable, Robert ; Ruckdeschel, Peter ; Rieder, Helmut:
Optimal robust influence functions in semiparametric regression.
In: Journal of Statistical Planning and Inference. Vol. 140 (January 2010) Issue 1 . - pp. 226-245.
DOI: https://doi.org/10.1016/j.jspi.2009.07.010

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Hable, Robert:
Finite approximations of data-based decision problems under imprecise probabilities.
In: International Journal of Approximate Reasoning. Vol. 50 (July 2009) Issue 7 . - pp. 1115-1128.
DOI: https://doi.org/10.1016/j.ijar.2009.05.003
Review:

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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 comparison with conventional radiography.
In: European Radiology. Vol. 11 (2001) Issue 9 . - pp. 1688-1696.
DOI: https://doi.org/10.1007/s003300000795

Hoffmann, Karin:
Approximation von stochastischen Integralgleichungen durch Martingaldifferenzschemata.
1987 . - 146 p.
( Doctoral thesis, 1987 , Universität Bayreuth, Fakultät für Mathematik und Physik)

J

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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 the carotid artery.
In: American Journal of Neuroradiology. Vol. 23 (2002) . - pp. 200-207.

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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 Parameters on Thrombus-Capturing Efficacy of the Vena Tech-LGM Filter.
In: Journal of Vascular and Interventional Radiology. Vol. 9 (1998) Issue 2 . - pp. 295-304.
DOI: https://doi.org/10.1016/S1051-0443(98)70272-6

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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 System for Testing of Inferior Vena Cava Filters.
In: Investigative Radiology. Vol. 32 (1997) Issue 9 . - pp. 511-522.

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Kreisel, Tobias ; Dumpert, Florian:
Das Giecher Friedhofsproblem.
Bayreuth , 2015 . - 13 p.

Kroupa, Tomáš ; Hable, Robert:
Structure of the Set of Belief Functions Generated by a Random Closed Interval.
2010
Event: BELIEF 1: International Workshop on the Theory of Belief Functions , 01.-02.04.2010 , Brest, Frankreich.
(Conference item: Workshop , Paper )

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Milbrodt, Hartmut:
Asymptotic normality of families of probability measures.
1981 . - III, 93 S.
( Doctoral thesis, 1981 , Universität Bayreuth, Fakultät für Mathematik und Physik)

R

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Rousseeuw, Peter J. ; Christmann, Andreas:
Robustness against separation and outliers in logistic regression.
In: Computational Statistics & Data Analysis. Vol. 43 (2003) Issue 3 . - pp. 315-332.
DOI: https://doi.org/10.1016/S0167-9473(02)00304-3

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Strohriegl, Katharina:
On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations.
Bayreuth , 2018 . - IV, 147 p.
( Doctoral thesis, 2018 , Universität Bayreuth, Fakultät für Mathematik, Physik und Informatik)

Stein, Manuel S.:
Performance analysis for time-of-arrival estimation with oversampled low-complexity 1-bit A/D conversion.
In: 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings. - Piscataway, NJ : IEEE, 2017 . - pp. 4491-4495
DOI: https://doi.org/10.1109/ICASSP.2017.7953006

Stein, Manuel S. ; Nossek, Josef A.:
A pessimistic approximation for the Fisher information measure.
In: IEEE Transactions on Signal Processing. Vol. 65 (2017) Issue 2 . - pp. 386-396.
DOI: https://doi.org/10.1109/TSP.2016.2617824

Strohriegl, Katharina ; Hable, Robert:
Qualitative robustness of estimators on stochastic processes.
In: Metrika. Vol. 79 (November 2016) Issue 8 . - pp. 895-917.
DOI: https://doi.org/10.1007/s00184-016-0582-z

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Steinwart, Ingo ; Christmann, Andreas:
Estimating conditional quantiles with the help of the pinball loss.
In: Bernoulli. Vol. 17 (2011) Issue 1 . - pp. 211-225.
DOI: https://doi.org/10.3150/10-BEJ267

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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. (ed.): Advances in Neural Information Processing Systems 22. Volume 3. - Red Hook, NY : Curran, 2009 . - pp. 1768-1776

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Steinwart, Ingo ; Christmann, Andreas:
Sparsity of SVMs that use the epsilon-insensitive loss.
In: Koller, Daphne ; Schuurmans, D. ; Bengio, Y. ; Bottou, L. (ed.): Advances in Neural Information Processing Systems 21. - Red Hook, NY : Curran, 2009 . - pp. 1569-1576

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Steinwart, Ingo ; Christmann, Andreas:
How SVMs can estimate quantiles and the median.
In: Platt, John C. ; Koller, Daphne ; Singer, Y. ; Roweis, S. (ed.): Advances in Neural Information Processing Systems 20. Volume 1. - Cambridge, MA : MIT Press, 2008 . - pp. 305-312

Volltext
Steinwart, Ingo ; Christmann, Andreas:
Support Vector Machines.
New York : Springer , 2008 . - 601 p. - (Information Science and Statistics )
DOI: https://doi.org/10.1007/978-0-387-77242-4

Volltext
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 induction of general anesthesia.
In: Zentralblatt für Neurochirurgie. Vol. 67 (2006) Issue 2 . - pp. 81-87.
DOI: https://doi.org/10.1055/s-2006-933374

T

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Troffaes, Matthias C. M. ; Hable, Robert:
Computation.
In: Augustin, Thomas ; Coolen, Franciscus P. A. ; Cooman, Gert de ; Troffaes, Matthias C. M. (ed.): Introduction to imprecise probabilities. - Chichester : Wiley, 2014 . - pp. 329-337 . - 448 S. . - (Wiley Series in Probability and Statistics )
DOI: https://doi.org/10.1002/9781118763117.ch16

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Troffaes, Matthias C. M. ; Hable, Robert:
Robustness of natural extension.
In: Coolen, Frank (ed.): Imprecise Probability : Theories and Applications. Proceedings of the Seventh International Symposium (ISIPTA 11). - Innsbruck , 2011 . - pp. 361-370

V

Volltext
Vandewalle, B. ; Beirlant, J. ; Christmann, Andreas ; Hubert, M.:
A Robust Estimator for the Tail Index of Pareto-type Distributions.
In: Computational Statistics & Data Analysis. Vol. 51 (2007) Issue 12 . - pp. 6252-6258.
DOI: https://doi.org/10.1016/j.csda.2007.01.003

Š

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Škulj, Damjan ; Hable, Robert:
Coefficients of ergodicity for Markov chains with uncertain parameters.
In: Metrika. Vol. 76 (January 2013) Issue 1 . - pp. 107-133.
DOI: https://doi.org/10.1007/s00184-011-0378-0
Review:

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Škulj, Damjan ; Hable, Robert:
Coefficients of ergodicity for imprecise Markov chaines.
2009
Event: 6th International Symposium on Imprecise Probability: Theories and Applications ; ISIPTA , 14.-18.07.2009 , Durham, United Kingdom.
(Conference item: Conference , Paper )

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