BibTeX bibliography file

Peer-reviewed papers

• Alessandro Antonucci, Marco Cattaneo, and Giorgio Corani. Likelihood-based robust classification with Bayesian networks. In Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, and Ronald R. Yager, editors, Advances in Computational Intelligence, volume 299 of Communications in Computer and Information Science, pages 491–500. Springer, 2012.
• Marco Cattaneo and Andrea Wiencierz. Likelihood-based Imprecise Regression. International Journal of Approximate Reasoning, 53(8):1137–1154, 2012.
• H. Küchenhoff, T. Augustin, and A. Kunz. Partially identified prevalence estimation under misclassification using the Kappa coefficient. International Journal of Approximate Reasoning, 53(8):1168–1182, 2012.
• Andrea Wiencierz and Marco Cattaneo. An exact algorithm for likelihood-based imprecise regression in the case of simple linear regression with interval data. In Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemyslaw Grzegorzewski, and Olgierd Hryniewicz, editors, Synergies of Soft Computing and Statistics for Intelligent Data Analysis, volume 190 of Advances in Intelligent Systems and Computing, pages 293–301. Springer, 2012.
• Alessandro Antonucci, Marco Cattaneo, and Giorgio Corani. Likelihood-based naive credal classifier. In Frank Coolen, Gert de Cooman, Thomas Fetz, and Michael Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 21–30. SIPTA, 2011.
• R. Baker, P. Coolen-Schrijner, F. Coolen, and T. Augustin. Nonparametric predictive inference for subcategory data. In F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 41–50. SIPTA, 2011.
• Marco Cattaneo. Belief functions combination without the assumption of independence of the information sources. International Journal of Approximate Reasoning, 52(3):299–315, 2011.
• Marco Cattaneo and Andrea Wiencierz. Regression with imprecise data: A robust approach. In Frank Coolen, Gert de Cooman, Thomas Fetz, and Michael Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 119–128. SIPTA, 2011.
• R. Crossman, J. Abellan, T. Augustin, and F. Coolen. Building imprecise classification trees with entropy ranges. In F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 129–138. SIPTA, 2011.
• H. Küchenhoff, T. Augustin, and A. Kunz. Partially identified prevalence estimation under misclassification using the Kappa coefficient. In F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 237–246. SIPTA, 2011.
• M. Schmid, T. Hielscher, T. Augustin, and O. Gefeller. A robust alternative to the Schemper-Henderson measure of prediction error.. Biometrics, 67(2):524–535, June 2011.
• G. Walter, T. Augustin, and F. Coolen. On prior-data conflict in predictive Bernoulli inferences. In F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, editors, ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, pages 391–400. SIPTA, 2011.
• Andrea Wiencierz, Sonja Greven, and Helmut Küchenhoff. Restricted likelihood ratio testing in linear mixed models with general error covariance structure. Electronic Journal of Statistics, 5:1718–1734, 2011.
• Christoph Wunder, Andrea Wiencierz, Johannes Schwarze, and Helmut Küchenhoff. Well-Being over the Life Span: Semiparametric Evidence from British and German Longitudinal Data. Review of Economics and Statistics, 2011. Accepted for publication.
• T. Augustin and R. Hable. On the impact of robust statistics on imprecise probability models: a review.. Structural Safety, 32(6):358–365, 2010.
• T. Augustin, F.P.A. Coolen, M. Troffaes, and S. Moral, editors. Special Issue on Imprecise Probability in Statistical Inference and Decision Making. International Journal of Approximate Reasoning, 51 (9), 1011-1172, 2010.
• Marco Cattaneo. Likelihood-based inference for probabilistic graphical models: Some preliminary results. In Petri Myllymäki, Teemu Roos, and Tommi Jaakkola, editors, PGM 2010, Proceedings of The Fifth European Workshop on Probabilistic Graphical Models, pages 57–64. HIIT Publications, 2010.
• D. Rummel, Thomas Augustin, and H. Küchenhoff. Correction for covariate measurement error in nonparametric longitudinal regression.. Biometrics, 66(4):1209–1219, 2010.
• T. Augustin, F. Coolen, P. Coolen-Schrijner, and M. Troffaes, editors. Special Issue on Statistical Theory and Practice with Imprecision. Journal of Statistical Theory and Practice, 2009. 3, 1-303. Reprinted with Journal Editor Sat Gupta as additional Editor: Imprecision in Statistical Theory and Practice. Grace, Greensboro.
• T. Augustin, F.P.A. Coolen, M. Troffaes, and S. Moral, editors. Proceedings of ISIPTA '09. Fifth International Symposium on Imprecise Probabilities and Their Applications., Durham, 2009. SIPTA.
• T. Augustin, E. Miranda, and J. Vejnarova, editors. Special Issue on Imprecise Probability Models and their Applications. International Journal of Approximate Reasoning, 50 (4), 581-694, 2009.
• A. Bronevich and T. Augustin. Approximation of coherent lower probabilities by 2-monotone measures.. In T. Augustin, Coolen F.P.A., S. Moral, and M. Troffaes, editors, ISIPTA '09: Proceedings of the Fifth International Symposium on Imprecise Probabilities and their Applications, pages 61–69, Durham (UK), 2009. SIPTA.
• Marco Cattaneo. A generalization of credal networks. In Thomas Augustin, Frank P. A. Coolen, Serafín Moral, and Matthias C. M. Troffaes, editors, ISIPTA '09, Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications, pages 79–88. SIPTA, 2009.
• P. Coolen-Schrijner, F. Coolen, Troffaes M., and T. Augustin. Imprecision in statistical theory and practice. Journal of Statistical Theory and Practice, 3:1–9, 2009.
• J. Einbeck and T. Augustin. On design-weighted local fitting and its relation to the Horvitz-Thompson estimator. Statistica Sinica, 19(1):103–123, 2009.
• A. Mihalyi, B. Deml, and T. Augustin. A contribution to integrated driver modeling: a coherent framework for modeling both non-routine and routine elements of the driving task.. In V.G. Duffy, editor, 2nd International Conference on Digital Human Modeling held at the HCI International (13th International Conference on Human-Computer Interaction), pages 433–442. Springer, 2009.
• A. Neuhaus, T. Augustin, C. Heumann, and M. Daumer. A review on joint models in biometrical research. Journal of Statistical Theory and Practice, 3:855–868, 2009.
• C. Strobl and T. Augustin. Adaptive selection of extra cutpoints — an approach towards reconciling robustness and interpretability in classification trees. Journal of Statistical Theory and Practice, 3:119–135, 2009.
• G. Walter and T. Augustin. Imprecision and prior-data conflict in generalized Bayesian inference. Journal of Statistical Theory and Practice, 3:255–271, 2009.
• A.-L. Boulesteix, C. Strobl, T. Augustin, and M. Daumer. Evaluating microarray-based classifiers: an overview. Cancer Informatics, 6:77–97, 2008.
• Marco Cattaneo. Fuzzy probabilities based on the likelihood function. In Didier Dubois, M. Lubiano, Henri Prade, María Gil, Przemyslaw Grzegorzewski, and Olgierd Hryniewicz, editors, Soft Methods for Handling Variability and Imprecision, volume 48 of Advances in Intelligent and Soft Computing, pages 43–50. Springer, 2008.
• H. Held, T. Augustin, and E. Kriegler. Bayesian learning for a class of priors with prescribed marginals. International Journal of Approximate Reasoning, 49(1):212–233, 2008.
• C. Strobl, A.-L. Boulesteix, T. Kneib, T Augustin, and A. Zeileis. Conditional variable importance for random forests.. BMC Bioinformatics, 9:307–317, 2008.
• F. Coolen and T. Augustin. Multinomial nonparametric predictive inference with sub-categories. In G. de Cooman, J. Vejnarova, and M. Zaffalon, editors, ISIPTA '07: Proceedings of the Fifth International Symposium on Imprecise Probabilities and their Applications, pages 77–86, Manno (CH), 2007. SIPTA.
• M. Obermeier and T. Augustin. Luceno's discretization method and its application in decision making under ambiguity.. In G. de Cooman, J. Vejnarova, and M. Zaffalon, editors, ISIPTA '07: Proceedings of the Fifth International Symposium on Imprecise Probabilities and their Applications, pages 327–336, Manno (CH), 2007. SIPTA.
• C. Strobl, A.-L. Boulesteix, and T. Augustin. Unbiased split selection for classification trees based on the Gini-index.. Computational Statistics and Data Analysis, 52(1):483–501, 2007.
• L.V. Utkin and T. Augustin. Decision making under imperfect measurement using the imprecise Dirichlet model.. International Journal of Approximate Reasoning, 44(3):322–338, 2007.
• Gero Walter, Thomas Augustin, and Annette Peters. Linear regression analysis under sets of conjugate priors. In Gert de Cooman, Jirina Vejnarova, and Marco Zaffalon, editors, ISIPTA '07, Proceedings of the Fifth International Symposium on Imprecise Probabilities: Theories and Applications, pages 445–455, Manno (CH), 2007. SIPTA.
• H. Schneeweiß and T. Augustin. Some recent advances in measurement error models and methods. Allgemeines Statistisches Archiv, 90(1):183–197, 2006. Reprinted in: O. Hübner and J. Frohn (2006, eds.): Modern Econometric Analysis — Surveys on Recent Developments. Springer. Heidelberg.
• T. Augustin. Generalized basic probability assignments. International Journal of General Systems, 34(4):451–463, 2005.
• R. Bender, T. Augustin, and M. Blettner. Generating survival times to simulate Cox proportional hazards models.. Statistics in Medicine, 24(11):1713–1723, 2005.
• Marco Cattaneo. Likelihood-based statistical decisions. In Fabio G. Cozman, Robert Nau, and Teddy Seidenfeld, editors, ISIPTA '05, Proceedings of the Fourth International Symposium on Imprecise Probabilities and Their Applications, pages 107–116. SIPTA, 2005.
• F. Coolen and T. Augustin. Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. In F.G. Cozman, R. Nau, and T. Seidenfeld, editors, ISIPTA '05: Proceedings of the Fourth International Symposium on Imprecise Probabilities and their Applications, pages 125–135, Pittsburgh, Manno, 2005. Carnegie Mellon University, SIPTA.
• L.V. Utkin and T. Augustin. Decision making under imperfect measurement using the imprecise Dirichlet model. In F.G. Cozman, R. Nau, and T. Seidenfeld, editors, ISIPTA '05: Proceedings of the Fourth International Symposium on Imprecise Probabilities and their Applications, pages 359–368, Pittsburgh, Manno, 2005. Carnegie Mellon University, SIPTA.
• L.V. Utkin and T. Augustin. Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. In F.G. Cozman, R. Nau, and T. Seidenfeld, editors, ISIPTA '05: Proceedings of the Fourth International Symposium on Imprecise Probabilities and their Applications, pages 349–358, Pittsburgh, Manno, 2005. Carnegie Mellon University, SIPTA.
• T. Augustin. An exact corrected log-likelihood function for Cox's proportional hazards model under measurement error and some extensions. Scandinavian Journal of Statistics, 31(1):43–50, 2004.
• T. Augustin. Optimal decisions under complex uncertainty—basic notions and a general algorithm for data-based decision making with partial prior knowledge described by interval probability. ZAMM Zeitschrift für Angewandte Mathematik und Mechanik, 84(10-11):678–687, 2004.
• T. Augustin and F.P.A. Coolen. Nonparametric predictive inference and interval probability. Journal of Statistical Planning and Inference, 124(2):251–272, 2004.
• T. Augustin and J. Wolff. A bias analysis of Weibull models under heaped data.. Statistical Papers, 45(2):211–229, 2004.
• T. Augustin. On the suboptimality of the generalized Bayes rule and robust Bayesian procedures from the decision theoretic point of view — a cautionary note on updating imprecise priors. In J.M. Bernard, T. Seidenfeld, and M. Zaffalon, editors, ISIPTA '03: Proceedings of the Third International Symposium on Imprecise Probabilities and their Applications, pages 31–45, Lugano. Carleton Scientific, Waterloo, 2003.
• Marco Cattaneo. Combining belief functions issued from dependent sources. In Jean-Marc Bernard, Teddy Seidenfeld, and Marco Zaffalon, editors, ISIPTA '03, Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, volume 18 of Proceedings in Informatics, pages 133–147. Carleton Scientific, 2003.
• L.V. Utkin and T. Augustin. Decision making with imprecise second order probabilities. In J.M. Bernard, T. Seidenfeld, and M. Zaffalon, editors, ISIPTA '03: Proceedings of the Third International Symposium on Imprecise Probabilities and their Applications, pages 547–561, Lugano. Carleton Scientific, Waterloo, 2003.
• K. Weichselberger and T. Augustin. On the symbiosis of two concepts of conditional interval probability. In J.M. Bernard, T. Seidenfeld, and M. Zaffalon, editors, ISIPTA '03. Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications (Lugano), pages 608–630. Carleton Scientific, Waterloo, 2003.
• J. Wolff and T. Augustin. Heaping and its consequences for duration analysis: a simulation study. Allgemeines Statistisches Archiv, 87(1):59–86, 2003.
• T. Augustin. Expected utility within a generalized concept of probability: a comprehensive framework for decision making under ambiguity. Statistical Papers, 43(1):5–22, 2002.
• T. Augustin. Neyman-Pearson testing under interval probability by globally least favorable pairs reviewing Huber-Strassen theory and extending it to general interval probability. Journal of Statistical Planning and Inference, 105(1):149–173, 2002.
• T. Augustin. Some basic results on the extension of quasi-likelihood based measurement error correction to multivariate and flexible structural models. In W. Gaul and G. Ritter, editors, Classification, Automation, and New Media (Passau, 2000), pages 29–36. Springer, Berlin, 2002.
• T. Augustin and R. Schwarz. Cox's proportional hazards model under covariate measurement error. A review and comparison of methods. In S. Van Huffel and P. Lemmerling, editors, Total Least Squares and Errors-in-Variables Modeling (Leuven, 2001), pages 175–184. Kluwer Acad. Publ., Dordrecht, 2002.
• T. Augustin. On decision making under ambiguous prior and sampling information. In G. de Cooman, T. Fine, S. Moral, and T. Seidenfeld, editors, ISIPTA '01: Proceedings of the Second International Symposium on Imprecise Probabilities and their Applications, pages 9–16, Ithaca (N.Y.), Shaker, Maastricht, 2001. Cornell University.
• T. Augustin. Globally least favorable pairs and Neyman-Pearson testing under interval probability. In G. de Cooman, F.G. Cozman, S. Moral, and P. Walley, editors, ISIPTA '99: Proceedings of the First International Symposium on Imprecise Probabilities and their Applications, pages 15–24, Gent, 1999.
• T. Augustin. On data-based checking of hypotheses in the presence of uncertain knowledge. In W. Gaul and H. Locarek-Junge, editors, Classification in the Information Age., pages 127–135. Springer, 1999.
• K. Weichselberger and T. Augustin. Zur Konstruktion von Bereichsschätzungen für nicht-monotone Funktionen von Parametern. Jahrbücher für Nationalökonomie und Statistik, 217(1):123–137, 1998.
• T. Augustin. Modeling weak information with generalized probability assignments. In H.H. Bock and W. Polasek, editors, Data Analysis and Information Systems. Statistical and Conceptual Approaches, pages 101–113. Springer, Heidelberg, 1996.

Other publications

• Alessandro Antonucci, Marco Cattaneo, and Giorgio Corani. Likelihood-based robust classification with Bayesian networks. Technical Report IDSIA-01-12, IDSIA, 2012.
• Marco Cattaneo. Likelihood decision functions. Technical Report 128, Department of Statistics, LMU Munich, 2012.
• Marco Cattaneo and Andrea Wiencierz. On the implementation of LIR: the case of simple linear regression with interval data. Technical Report 127, Department of Statistics, LMU Munich, 2012.
• Thomas Augustin and Marco Cattaneo. Foundations of probability. In Miodrag Lovric, editor, International Encyclopedia of Statistical Science, pages 542–544. Springer, 2011.
• C. Bernau, T. Augustin, and A.-L. Boulesteix. Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation. Technical Report 105, Department of Statistics, LMU, 2011.
• Marco Cattaneo and Andrea Wiencierz. Likelihood-based Imprecise Regression. Technical Report 116, Department of Statistics, LMU Munich, 2011.
• Marco Cattaneo and Andrea Wiencierz. Robust regression with imprecise data. Technical Report 114, Department of Statistics, LMU Munich, 2011.
• Daniel Fischer, Wolfgang Bonß, Thomas Augustin, Felix Bader, Michaela Pichlbauer, and Dominikus Vogl, editors. Uneindeutigkeit als Herausforderung. Universität der Bundeswehr München, Neubiberg, 1 edition, 2011.
• Andrea Wiencierz, Sonja Greven, and Helmut Küchenhoff. Restricted likelihood ratio testing in linear mixed models with general error covariance structure. Technical Report 109, Department of Statistics, LMU Munich, 2011.
• Marco Cattaneo. Probabilistic-possibilistic belief networks. In Angel Marchev, Angel Angelov, Margarita Harizanova, Milcho Mirchev, Matilda Alexandrova, Maya Lambovska, and Vasil Alexandria, editors, Vanguard Scientific Instruments in Management 2009 (VSIM:09), volume 2, pages 59–72. VSIM, 2010.
• F. Coolen, M. Troffaes, and T. Augustin. Imprecise Probabilities. In M. Lovric, editor, International Encyclopedia of Statistical Sciences, pages 645–648. Springer, 2010.
• Julia Kopf, Carolin Strobl, and Thomas Augustin. The potential of model-based recursive partitioning in the social sciences. revisiting Ockham's Razor. Technical Report 88, Department of Statistics, LMU Munich, 2010.
• Carolin Strobl, Julia Kopf, and Achim Zeileis. A new method for detecting differential item functioning in the Rasch model. Technical Report 92, Department of Statistics, LMU Munich, 2010.
• Carolin Strobl, Julia Kopf, and Achim Zeileis. Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben. In S. Trepte and M. Verbeet, editors, Wissenswelten des 21. Jahrhunderts - Erkenntnisse aus dem Studentenpisa-Test des SPIEGEL, pages 255–272. VS Verlag, Wiesbaden, 2010.
• Gero Walter and Thomas Augustin. Bayesian linear regression — different conjugate models and their (in)sensitivity to prior-data conflict. In Thomas Kneib and Gerhard Tutz, editors, Statistical Modelling and Regression Structures, Festschrift in Honour of Ludwig Fahrmeir, pages 59–78. Springer, 2010.
• T. Augustin and R. Hable. On the impact of robust statistics on imprecise probability models: a review. In H. Furuta, D.M. Frangopol, and Shinozuka. M., editors, Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems. Proceedings of ICOSSAR2009 (The 10th International Conference on Structural Safety and Reliability, Osaka).. Taylor and Francis, 2009.
• F. Coolen and T. Augustin. A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories.. International Journal of Approximate Reasoning, 50:217–230, 2009.
• Gero Walter and Thomas Augustin. Bayesian linear regression — different conjugate models and their (in)sensitivity to prior-data conflict. Technical Report 69, Department of Statistics, LMU Munich, 2009.
• Andrea Wiencierz. Arthur P. Dempster's generalized inference theory: Theoretical foundations, extensions and modern applications. Master's thesis, LMU Munich, 2009.
• Christoph Wunder, Andrea Wiencierz, Johannes Schwarze, Helmut Küchenhoff, Sara Kleyer, and Philipp Bleninger. Well-being over the life span: Semiparametric evidence from British and German longitudinal data. Technical Report 179, DIW Berlin, 2009.
• T. Augustin. Statistik. In S. Farzin and S. Jordan, editors, Lexikon Soziologie und Sozialtheorie. Hundert Grundbegriffe., pages 281–284. Reclam Verlag, Stuttgart, 2008.
• T. Augustin. Tribute to Pauline Coolen-Schrijner.. Journal of Risk and Reliability, 222(4):i–ii, 2008.
• T. Augustin. Tribute to Pauline Coolen-Schrijner. SIPTA Newsletter, 12/08, 2008.
• T. Augustin, A. Döring, and D. Rummel. Regression calibration for Cox regression under heteroscedastic measurement error — Determining risk factors of cardiovascular diseases from error-prone nutritional replication data. In C. Heumann and Shalabh, editors, Recent Advances in Linear Models and Related Areas, Essays in Honour of Helge Toutenburg , pages 253–278. Physika Verlag, Heidelberg, 2008.
• Marco Cattaneo. Probabilistic-possibilistic belief networks. Technical Report 32, Department of Statistics, LMU Munich, 2008.
• Marco Cattaneo. Statistical Decisions Based Directly on the Likelihood Function. PhD thesis, ETH Zurich, 2007.
• J. Einbeck, T. Augustin, and J.M. Singer. Smoothing, sampling, and Basu's elephants. In J. del Castillo, A. Espinal, and P. Puig, editors, Proceedings of the 22th International Workshop on Statistical Modelling, pages 245–248, Barcelona, 2007.
• Gero Walter. The normal regression model as a LUCK-model. Discussion Paper, 2007.
• Gero Walter. Sketch of an alternative approach to linear regression analysis under sets of conjugate priors. Discussion Paper, 2007.
• T. Augustin and C. Strobl. Book review: Interactive Statistics for the Behavioral Sciences. by Pepper Williams. Biometrics, 62:625–626, 2006.
• R. Bender, T. Augustin, and M. Blettner. Letter to the Editor: Generating survival times to simulate Cox proportional hazards models - by Ralf Bender, Thomas Augustin and Maria Blettner, Statistics in Medicine 2005; 24 : 1713-1723. Statistics in Medicine, 25(11):1978–1979, 2006.
• Gero Walter. Robuste Bayes-Regression mit Mengen von Prioris — Ein Beitrag zur Statistik unter komplexer Unsicherheit. Master's thesis, LMU Munich, 2006.
• A. Neuhaus, M. Daumer, L. Kappos, T. Augustin, and H. Kuchenhoff. Modelling time to progression in multiple sclerosis regarding the error in the response variable. Multiple Sclerosis, 10(7032, Suppl. 2):99, 2004.
• L.V. Utkin and T. Augustin. Fuzzy decision making using the imprecise Dirichlet model. In Proceedings of the International Conference on Fuzzy Sets and Soft Computing in Economics and Finance, pages 186–193, Mexican Petroleum Institute. St. Petersburg, 2004.
• Marco Cattaneo. Combining belief functions issued from dependent sources. Technical Report 117, Seminar for Statistics, ETH Zurich, 2003.
• L.V. Utkin and T. Augustin. Risk analysis on the basis of partial information about quantiles. In S. Evgueni, editor, Modelling and Analysis of Safety and Risk in Complex Systems (Proceedings of the Third International Scientific School MA SR 2003), pages 172–178, St. Petersburg, 2003. Institute of Problems of Mechanical Engineering of Russian Academy of Science (IMPE RAS).
• T. Augustin. Survival Analysis under Measurement Error. Post-doctoral Thesis. Department of Statistics, University of Munich (LMU) (172 pages), 2002.
• S. Pöhlmann and T. Augustin. A Kiefer-Weiss optimal sequential sign test — Some considerations on a bioequivalence problem from the viewpoint of quality management. In J. Kunert and G. Trenkler, editors, Mathematical Statistics with Applications in Biometry (Festschrift for Siegfried Schach), pages 179–188. Josef Eul, Köln, 2001.
• K. Weichselberger. Elementare Grundbegriffe einer allgemeineren Wahrscheinlichkeitsrechnung I — Intervallwahrscheinlichkeit als umfassendes Konzept. Physika, Heidelberg, 2001. (unter Mitarbeit von T. Augustin und A. Wallner), Seiten: 684 + xiv.
• Marco Cattaneo. Inductive inference and nonmonotonic reasoning. Master's thesis, ETH Zurich, 2000.
• T. Augustin. Interval probability — towards a more comprehensive mathematical modeling of uncertainty. In Analele Facultatii de Inginerie din Hunedoara, pages 143–147. University of Hunedoara, 1999.
• T. Augustin. Quasi-likelihood based correction for measurement error in accelerated failure time models. In H. Friedl, A. Berghold, and G. Kauermann, editors, Statistical Modelling (Proceedings of the 14th International Workshop on Statistical Modelling), pages 421–424. l, 1999.
• T. Augustin. Optimale Tests bei Intervallwahrscheinlichkeit. Vandenhoeck and Ruprecht, Göttingen, 1998. With a preface by Kurt Weichselberger, Pages: 290 + XIV.
• K. Weichselberger and T. Augustin. Analysing Ellsberg's paradox by means of interval-probability. In R. Galata and H. Küchenhoff, editors, Econometrics in Theory and Practice, pages 291–304. Physica, Heidelberg, 1998.
• T. Augustin. Intervallwahrscheinlichkeit als geschlossene Methodologie zur Behandlung unsicheren Wissens. In F. Bry and S Abdennadher, editors, TdI 96, pages 1–13. Institut für Informatik. Universität München, München, 1996.
• T. Augustin. Zur Schätzung von Baselinefunktionen in semiparametrischen Lebensdauermodellen, 1992. Diplomarbeit, Institut für Statistik. Universität München.
• T. Augustin and S. Lamnek. Lebensbedingungen und Infrastruktur der Gemeinde Ottobrunn, 1991. Institut für Soziologie. Universität München.