Method(olog)ische Grundlagen der Statistik und ihre Anwendungen
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Methodologische Grundlagen

Übersicht

Theorien der Imprecise Probability

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Entscheidungstheorie

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Partielle Identifikation

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Grundlagen der Wahrscheinlichkeit, Konzepte von Unsicherheit

  • Thomas Augustin and Rudolf Seising. Kurt Weichselberger's contribution to imprecise probabilities. In Alessandro Antonucci, Giorgio Corani, Inés Couso, and Sébastien Destercke, editors, Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, volume 62 of Proceedings of Machine Learning Research, pages 13–24. PMLR, 2017.
  • Thomas Augustin, Frank P. A. Coolen, Gert de Cooman, and Matthias C. M. Troffaes, editors. Introduction to Imprecise Probabilities. Wiley, Chichester, 2014.
  • Thomas Augustin, Gero Walter, and Frank P. A. Coolen. Statistical inference. In Thomas Augustin, Frank P. A. Coolen, Gert de Cooman, and Matthias C. M. Troffaes, editors, Introduction to Imprecise Probabilities, pages 135–189. Wiley, 2014.
  • Marco Cattaneo. A continuous updating rule for imprecise probabilities. In Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, and Ronald Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 3, volume 444 of Communications in Computer and Information Science, pages 426–435. Springer, 2014.
  • Marco Cattaneo. Maxitive integral of real-valued functions. In Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, and Ronald Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, volume 442 of Communications in Computer and Information Science, pages 226–235. Springer, 2014.
  • Marco Cattaneo. Likelihood decision functions. Electronic Journal of Statistics, 7:2924–2946, 2013.
  • Marco Cattaneo. On maxitive integration. Technical Report 147, Department of Statistics, LMU Munich, 2013.
  • Marco Cattaneo. On the robustness of imprecise probability methods. In Fabio Cozman, Therry Denœux, Sébastien Destercke, and Teddy Seidfenfeld, editors, ISIPTA '13, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications, pages 33–41, Manno, 2013. SIPTA.
  • Marco Cattaneo. Likelihood decision functions. Technical Report 128, 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.
  • 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. 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.
  • Marco Cattaneo. Fuzzy probabilities based on the likelihood function. In Didier Dubois, Maria 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.
  • Marco Cattaneo. Probabilistic-possibilistic belief networks. Technical Report 32, Department of Statistics, LMU Munich, 2008.

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Inferenz-Theorie