Publikationsliste

Zeitschriftenartikel

Katharina Strohriegl & Robert Hable (2014): Qualitative Robustness of Estimators on Stochastic Processes. Submitted.
Robert Hable (2014): Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems. Submitted. Preprint (arXiv).
Robert Hable (2014): Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods. Submitted. Preprint (arXiv).
Anne-Laure Boulesteix, Robert Hable, Sabine Lauer & Manuel J. A. Eugster (2014): A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies. In Revision. Preprint.
Bunafsha Mislimshoeva, Robert Hable, Cyrus Samimi, Abdulnazar Abdulnazarov, Manuchehr Fezakov & Thomas Koellner (2014): Firewood consumption and its influencing factors in the high mountains of the Western Pamirs, Tajikistan. Mountain Research and Development, 34:147-156, 2014 .
Robert Hable & Andreas Christmann (2014): Estimation of Scale Functions to Model Heteroscedasticity by Kernel Based Quantile Methods. Journal of Nonparametric Statistics, 26:219-239, 2014.
Robert Hable (2013): Universal Consistency of Localized Versions of Regularized Kernel Methods. Journal of Machine Learning Research, 14:111-144, 2013.
Damjan Skulj & Robert Hable (2013): Coefficients of ergodicity for Markov chains with uncertain parameters. Metrika, 76:107-133, 2013.
Robert Hable (2012): Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods. Journal of Multivariate Analysis, 106:92–117, 2012. Preprint (arXiv).
Andreas Christmann & Robert Hable (2012): Consistency of support vector machines using additive kernels for additive models. Computational Statistics & Data Analysis, 56:854–873, 2012. Former preprint at arXiv.
Robert Hable & Andreas Christmann (2011): On Qualitative Robustness of Support Vector Machines. Journal of Multivariate Analysis, 102:993-1007, 2011. Preprint (arXiv).
Robert Hable (2010): A Minimum Distance Estimator in an Imprecise Probability Model - Computational Aspects and Applications. International Journal of Approximate Reasoning, 51:1114-1128, 2010.
Thomas Augustin & Robert Hable (2010): On the impact of robust statistics on imprecise probability models: a review. Structural Safety, 32:358-365, 2010.
Robert Hable (2010): Minimum Distance Estimation in Imprecise Probability Models. Journal of Statistical Planning and Inference, 140:461-479, 2010.
Robert Hable, Peter Ruckdeschel & Helmut Rieder (2010): Optimal robust influence functions in semiparametric regression. Journal of Statistical Planning and Inference, 140:226-245, 2010.
Robert Hable (2009): Finite approximations of data-based decision problems under imprecise probabilities. International Journal of Approximate Reasoning, 50:1115-1128, 2009.
Robert Hable (2009): Data-Based Decisions under Imprecise Probability and Least Favorable Models. International Journal of Approximate Reasoning, 50:642-654, 2009.

Konferenzband-Artikel

Andreas Christmann & Robert Hable (2013): On the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods. Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong.
Matthias Troffaes & Robert Hable (2011): Robustness of Natural Extension. 7th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'11), Innsbruck, Austria.
Tomáš Kroupa & Robert Hable (2010): Structure of the Set of Belief Functions Generated by a Random Closed Interval. Workshop on the Theory of Belief Functions, Brest, France.
Thomas Augustin & Robert Hable (2009): On the impact of robust statistics on imprecise probability models: a review. The 10th International Conference on Structural Safety and Reliability (ICOSSAR2009), Osaka, Japan.
Robert Hable (2009): A Minimum Distance Estimator in an Imprecise Probability Model - Computational Aspects and Applications; fulltext. 6th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'09), Durham, England.
Damjan Skulj & Robert Hable (2009): Coefficients of ergodicity for imprecise Markov chaines; fulltext. 6th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'09), Durham, England.
Robert Hable (2007): Data-Based Decisions under Imprecise Probability and Least Favorable Models; fulltext. In: Proceedings of the 5th International Symposium on Imprecise Probability: Theory and Application , Prague, Czech Republic.
Supplements to the Article "Data-Based Decisions under Imprecise Probability and Least Favorable Models"

Buchkapitel

Nathan Huntley, Robert Hable & Matthias C.M. Troffaes (2014): Decision Making. In: T. Augustin, F. Coolen, G. de Cooman, M. Troffaes (Eds.): An Introduction to Imprecise Probabilities, Wiley, Hoboken.
Matthias C.M. Troffaes & Robert Hable (2014): Computation. In: T. Augustin, F. Coolen, G. de Cooman, M. Troffaes (Eds.): An Introduction to Imprecise Probabilities, Wiley, Hoboken.
Robert Hable & Andreas Christmann (2013): Robustness Versus Consistency in Ill-Posed Classification and Regression Problems. In: Antonio Giusti, Gunter Ritter, Maurizio Vichi (Eds.): Classification and Data Mining, Springer, Berlin.

Software

imprProbEst: Minimum distance estimation in an imprecise probability model
Contributed R-Package on CRAN, Version 1.0, 2008-10-23; maintainer Hable, R.; available here.

Habilitation und Doktorarbeit

Robert Hable (2012):Statistical Properties of Regularized Kernel Methods in General Regression and Classification Problems.
Universität Bayreuth, erhältlich auf Anfrage.
Robert Hable (2009):Data-Based Decisions under Complex Uncertainty.
Dr. Hut-Verlag, München.
Eine freie elektronische Version befindet sich hier (Universitätsbibliothek München).

Vorträge

Qualitatively robust estimation for stochastic processes; download as PDF;
ERCIM’13, London, England, 2013
Nonparametric Classification by SVMs and Other Regularized Kernel Methods: Statistical Models and Inference; download as PDF;
Statistische Woche, Berlin, Germany, 2013
Estimation of Non- and Semiparametric Additive Models by Regularized Kernel Methods;
DAGStat 2013, Freiburg, Germany, 2013
Localizations of Global Learning Methods: Universal Consistency of SVM-KNN; download as PDF;
Philipps-Universität Marburg, Germany, 2012
Statistical Inference in General Nonparametric Regression and Classication Problems with Regularized Kernel Methods; download as PDF;
DMV-Jahrestagung, Saarbrücken, Germany, 2012
Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods; download as PDF;
10th German Probability and Statistics Days, Mainz, Germany, 2012
On Qualitative Robustness of SVMs and Other Regularized Kernel Methods for Dependent Data;
Workshop Robust Methods for Dependent Data, Witten, Germany, 2012
On Support Vector Machines to Estimate Scale Functions; download as PDF;
ERCIM'11, London, England, 2011
Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods; download as PDF;
Charles University in Prague, Czech Republic, 2011
Nonparametric Estimation of Additive Models by Support Vector Machines; download as PDF;
University of Gießen, Germany, 2011
Asymptotic Normality of Support Vector Machines; download as PDF;
KU Leuven, Belgium, 2011
Asymptotische Normalität von Support Vector Machines;
University of Stuttgart, Germany, 2010
Asymptotic Normality of Support vector Machines; download as PDF;
Weierstraß-Institut für Angewandte Analysis und Stochastik, Berlin, Germany, 2010
Robustness versus Consistency in Ill-Posed Classification and Regression Problems; download as PDF;
GfKl - CLADAG 2010, Florence, Italy, 2010
Qualitative Robustness of Support Vector Machines; download as PDF;
DAGStat2010, Dortmund, Germany, 2010
Qualitatively Robust Nonparametric Regression by Support Vector Machines; download as PDF;
9th German Open Conference on Probability and Statistics, Leipzig, Germany, 2010
Modeling Complex Uncertainties in Data-Based Decision Theory; Institute of Information Theory and Automation (UTIA), Academy of Sciences of the Czech Republic, Prague, Czech Republic, 2009
On the Impact of Robust Statistics on Imprecise Probability Models: A Review; download as PDF;
The 10th International Conference on Structural Safety and Reliability (ICOSSAR2009), Osaka, Japan, 2009
A Minimum Distance Estimator in an Imprecise Probability Model - Computational Aspects and Applications; download as PDF;
6th International Symposium on Imprecise Probability: Theories and Applications, Durham, England, 2009
A Tutorial about Decision Theory under Imprecise Probability; download as PDF;
6th International Symposium on Imprecise Probability: Theories and Applications, Durham, England, 2009
An Introduction to Decision Making with Imprecise Probabilities; download as PDF;
Workshop on Principles and Methods of Statistical Inference with Interval Probability, Durham, England, 2008
Unmeasurable Tests in Statistical Hypothesis Testing; download as PDF;
8th German Open Conference on Probability and Statistics, Aachen, Germany, 2008
Data-Based Decisions under Imprecise Probability and Least Favorable Models; download as PDF;
5th International Symposium on Imprecise Probability: Theories and Applications, Prague, Czech Republic, 2007
Winner of the IJAR Student Award
Optimal robust influence functions in semiparametric regression; download as PDF;
DAGStat - Conference 2007, Bielefeld, Germany, 2007