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AG Method(olog)ische Grundlagen LMU-Startseite LMU-Startseite Institut für Statistik AG Method(olog)ische Grundlagen

Marco E. G. V. Cattaneo

NEW WEBSITE

PublicationsLehrveranstaltungen

Sommersemester 2014

Einführung in die Wahrscheinlichkeitsrechnung
Mathematik für Studierende der Wirtschaftswissenschaften
Research Seminar Series on Foundations of Statistics

Wintersemester 2013/14

Mathematik für Studierende der Wirtschaftswissenschaften
Wahrscheinlichkeit und andere Unsicherheitskonzepte
Research Seminar Series on Foundations of Statistics

Sommersemester 2013

Einführung in die Wahrscheinlichkeitsrechnung
Mathematik für Studierende der Wirtschaftswissenschaften
Nationale und internationale Sozialberichterstattung: wichtigste Datenquellen, zentrale Ergebnisse und method(olog)ische Probleme
Research Seminar Series on Foundations of Statistics

Wintersemester 2012/13

Methodologische und historische Grundlagen des Wahrscheinlichkeitsbegriffs und der statistischen Inferenz
Research Seminar Series on Foundations of Statistics

Sommersemester 2012

Einführung in die Wahrscheinlichkeitsrechnung
Verteilungsfreie Verfahren
Research Seminar Series on Foundations of Statistics

Wintersemester 2011/12

Wahrscheinlichkeitstheorie und Inferenz I
Einblicke in verschiedene aktuelle Forschungsgebiete der Statistik
Research Seminar Series on Foundations of Statistics

Sommersemester 2011

Einführung in die Wahrscheinlichkeitsrechnung
Einführung in die stochastischen Prozesse
Spezielle stochastische Prozesse
Research Seminar Series on Foundations of Statistics

Wintersemester 2010/11

Verteilungsfreie Verfahren
Philosophische Grundlagen der Statistik
Research Seminar Series on Foundations of Statistics

Sommersemester 2010

Research Seminar Series on Foundations of Statistics

Wintersemester 2009/10

Einführung in die stochastischen Prozesse
Spezielle stochastische Prozesse
Wissenschaftstheorien und Wissenstransformationen im 20. Jahrhundert

Sommersemester 2009

Einführung in die Wahrscheinlichkeitsrechnung
Robuste Statistik

Wintersemester 2008/09

Verteilungsfreie Verfahren

LehrveranstaltungenPublications

Theses

Statistical Decisions Based Directly on the Likelihood Function. PhD thesis, ETH Zurich, 2007.
Inductive Inference and Nonmonotonic Reasoning. Master's thesis, ETH Zurich, 2000.

Papers

A continuous updating rule for imprecise probabilities. Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 3 (A. Laurent, O. Strauss, B. Bouchon-Meunier, and R.R. Yager, eds.), Communications in Computer and Information Science 444, Springer, 2014, pp. 426–435. [the unformatted version is freely available here]
Maxitive integral of real-valued functions. Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1 (A. Laurent, O. Strauss, B. Bouchon-Meunier, and R.R. Yager, eds.), Communications in Computer and Information Science 442, Springer, 2014, pp. 226–235. [the unformatted version is freely available here]
On the implementation of LIR: the case of simple linear regression with interval data (with A. Wiencierz). Computational Statistics 29 (2014) 743–767. [the unformatted version is freely available here]
Likelihood decision functions. Electronic Journal of Statistics 7 (2013) 2924–2946.
On the robustness of imprecise probability methods. ISIPTA '13, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications (F. Cozman, T. Denœux, S. Destercke, and T. Seidenfeld, eds.), SIPTA, 2013, pp. 33–41.
An exact algorithm for Likelihood-based Imprecise Regression in the case of simple linear regression with interval data (with A. Wiencierz). Synergies of Soft Computing and Statistics for Intelligent Data Analysis (R. Kruse, M.R. Berthold, C. Moewes, M.Á. Gil, P. Grzegorzewski, and O. Hryniewicz, eds.), Advances in Intelligent Systems and Computing 190, Springer, 2012, pp. 293–301. [the unformatted version is freely available here]
Likelihood-based Imprecise Regression (with A. Wiencierz). International Journal of Approximate Reasoning 53 (2012) 1137–1154. [the unformatted version is freely available here]
Likelihood-based robust classification with Bayesian networks (with A. Antonucci and G. Corani). Advances in Computational Intelligence, Part 3 (S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, and R.R. Yager, eds.), Communications in Computer and Information Science 299, Springer, 2012, pp. 491–500. [the unformatted version is freely available here]
Regression with imprecise data: A robust approach (with A. Wiencierz). ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications (F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, eds.), SIPTA, 2011, pp. 119–128.
Likelihood-based naive credal classifier (with A. Antonucci and G. Corani). ISIPTA '11, Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications (F. Coolen, G. de Cooman, T. Fetz, and M. Oberguggenberger, eds.), SIPTA, 2011, pp. 21–30.
Belief functions combination without the assumption of independence of the information sources. International Journal of Approximate Reasoning 52 (2011) 299–315. [the unformatted version is freely available here]
Foundations of probability (with T. Augustin). International Encyclopedia of Statistical Science (M. Lovric, ed.), Springer, 2011, pp. 542–544. [the unformatted version is freely available here]
Likelihood-based inference for probabilistic graphical models: Some preliminary results. PGM 2010, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (P. Myllymäki, T. Roos, and T. Jaakkola, eds.), HIIT Publications, 2010, pp. 57–64.
Probabilistic-possibilistic belief networks. Vanguard Scientific Instruments in Management 2009 (VSIM:09) (A. Marchev, A. Angelov, M. Harizanova, M. Mirchev, M. Alexandrova, M. Lambovska, and V. Alexandria, eds.), VSIM, 2010, vol. 2, pp. 59–72.
A generalization of credal networks. ISIPTA '09, Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications (T. Augustin, F.P.A. Coolen, S. Moral, and M.C.M. Troffaes, eds.), SIPTA, 2009, pp. 79–88.
Fuzzy probabilities based on the likelihood function. Soft Methods for Handling Variability and Imprecision (D. Dubois, M.A. Lubiano, H. Prade, M.Á. Gil, P. Grzegorzewski, and O. Hryniewicz, eds.), Advances in Soft Computing 48, Springer, 2008, pp. 43–50. [the unformatted version is freely available here]
Likelihood-based statistical decisions. ISIPTA '05, Proceedings of the Fourth International Symposium on Imprecise Probabilities and Their Applications (F.G. Cozman, R. Nau, and T. Seidenfeld, eds.), SIPTA, 2005, pp. 107–116.
Combining belief functions issued from dependent sources. ISIPTA '03, Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications (J.-M. Bernard, T. Seidenfeld, and M. Zaffalon, eds.), Proceedings in Informatics 18, Carleton Scientific, 2003, pp. 133–147.

Reports

On maxitive integration. Technical Report 147, Department of Statistics, LMU Munich, 2013.
Likelihood decision functions. Technical Report 128, Department of Statistics, LMU Munich, 2012.
On the implementation of LIR: the case of simple linear regression with interval data (with A. Wiencierz). Technical Report 127, Department of Statistics, LMU Munich, 2012.
Likelihood-Based Robust Classification with Bayesian Networks (with A. Antonucci and G. Corani). Technical Report IDSIA-01-12, IDSIA, 2012.
Likelihood-based Imprecise Regression (with A. Wiencierz). Technical Report 116, Department of Statistics, LMU Munich, 2011.
Robust regression with imprecise data (with A. Wiencierz). Technical Report 114, Department of Statistics, LMU Munich, 2011.
Probabilistic-Possibilistic Belief Networks. Technical Report 32, Department of Statistics, LMU Munich, 2008.
Combining Belief Functions Issued from Dependent Sources. Research Report 117, Seminar for Statistics, ETH Zurich, 2003.

Posters

On the robustness of imprecise probability methods. ISIPTA '13, Compiègne, France, 2 July 2013.
Likelihood-based naive credal classifier (with A. Antonucci and G. Corani). ISIPTA '11, Innsbruck, Austria, 27 July 2011.
Regression with imprecise data: A robust approach (with A. Wiencierz). ISIPTA '11, Innsbruck, Austria, 25 July 2011.
Likelihood-based inference for probabilistic graphical models: Some preliminary results. PGM 2010, Helsinki, Finland, 14 September 2010.
A generalization of credal networks. ISIPTA '09, Durham, UK, 17 July 2009.
Likelihood-based statistical decisions. ISIPTA '05, Pittsburgh, USA, 23 July 2005.
Combining belief functions issued from dependent sources. ISIPTA '03, Lugano, Switzerland, 16 July 2003.

Slides

A continuous updating rule for imprecise probabilities. IPMU 2014, Montpellier, France, 18 July 2014.
Maxitive integral of real-valued functions. IPMU 2014, Montpellier, France, 15 July 2014.
Maxitive integral of real-valued functions. LMU Munich, München, Germany, 07 July 2014.
Unreliable probabilities and statistical learning. IPSP 2014, München, Germany, 28 June 2014.
On using different distance measures for fuzzy numbers in fuzzy linear regression models (with D. İçen). LMU Munich, München, Germany, 31 March 2014.
On using different distance measures for fuzzy numbers in fuzzy linear regression models (with D. İçen). GPSD 2014, Ulm, Germany, 6 March 2014.
The likelihood approach to statistical decision problems. Durham University, Durham, UK, 30 January 2014.
Likelihood theory as a unified approach to uncertainty. University of Hull, Hull, UK, 29 January 2014.
The likelihood approach to statistical decision problems. LMU Munich, München, Germany, 27 January 2014.
The meaning of robustness. WPMSIIP 2013, Lugano, Switzerland, 9 September 2013.
Continuous updating rules for imprecise probabilities. WPMSIIP 2013, Lugano, Switzerland, 6 September 2013.
On the robustness of imprecise probability methods. ISIPTA '13, Compiègne, France, 2 July 2013.
On the robustness of imprecise probability methods. LMU Munich, München, Germany, 24 June 2013.
Imprecise probabilities. LMU Munich, München, Germany, 4 February 2013.
A comparison of conventional and imprecise probability approaches to statistics. CFE-ERCIM 2012, Oviedo, Spain, 1 December 2012.
Imprecise probability for statistical problems: is it worth the candle? LMU Munich, München, Germany, 26 November 2012.
Profile likelihood inference. LMU Munich, München, Germany, 5 November 2012.
An exact algorithm for Likelihood-based Imprecise Regression in the case of simple linear regression with interval data (with A. Wiencierz). SMPS 2012, Konstanz, Germany, 4 October 2012.
Recent developments in the statistical analysis of interval data — The case of regression (with T. Augustin, U. Pötter, G. Schollmeyer, and A. Wiencierz). Applied Statistics 2012, Ribno, Slovenia, 23 September 2012.
The likelihood approach to statistical decision problems. Statistische Woche 2012, Wien, Austria, 21 September 2012.
Linear regression with interval data: the LIR approach (with A. Wiencierz). Statistische Woche 2012, Wien, Austria, 20 September 2012.
Profile likelihood inference in graphical models. Statistische Woche 2012, Wien, Austria, 18 September 2012.
Likelihood-based imprecise probabilities and decision making. WPMSIIP 2012, München, Germany, 14 September 2012.
On the estimation of conditional probabilities. WPMSIIP 2012, München, Germany, 13 September 2012.
Graphical comparison of imprecise methods. WPMSIIP 2012, München, Germany, 12 September 2012.
Linear Likelihood-based Imprecise Regression (LIR) with interval data (with A. Wiencierz). WPMSIIP 2012, München, Germany, 11 September 2012.
Likelihood-based robust classification with Bayesian networks (with A. Antonucci and G. Corani). IPMU 2012, Catania, Italy, 12 July 2012.
Probabilistic graphical models. LMU Munich, München, Germany, 13 June 2012.
Likelihood decision functions. GPSD 2012, Mainz, Germany, 9 March 2012.
On the implementation of Likelihood-based Imprecise Regression (with A. Wiencierz). CFE-ERCIM 2011, London, UK, 18 December 2011.
On the implementation of Likelihood-based Imprecise Regression (with A. Wiencierz). LMU Munich, München, Germany, 15 December 2011.
Robust regression with imprecise data (with A. Wiencierz). LMU Munich, München, Germany, 17 November 2011.
Robust regression with coarse data (with A. Wiencierz). Statistische Woche 2011, Leipzig, Germany, 21 September 2011.
Learning from data in Markov models. WPMSIIP 2011, Ljubljana, Slovenia, 10 September 2011.
Likelihood-based naive credal classifier (with A. Antonucci and G. Corani). ISIPTA '11, Innsbruck, Austria, 27 July 2011.
Regression with imprecise data: A robust approach (with A. Wiencierz). ISIPTA '11, Innsbruck, Austria, 25 July 2011.
Likelihood-based inference for probabilistic graphical models: Some preliminary results. PGM 2010, Helsinki, Finland, 14 September 2010.
On the estimation of imprecise probabilities. WPMSIIP 2010, Durham, UK, 10 September 2010.
Naive classifiers and zero counts. WPMSIIP 2010, Durham, UK, 9 September 2010.
Prior-data conflict in likelihood inference. WPMSIIP 2010, Durham, UK, 7 September 2010.
Independence and combination of belief functions. LMU Munich, München, Germany, 2 June 2010.
The likelihood approach to statistics as a theory of imprecise probability. Hanns-Seidel-Stiftung, Wildbad Kreuth, Germany, 25 September 2009.
A statistician's view on fuzzy sets. Hanns-Seidel-Stiftung, Wildbad Kreuth, Germany, 23 September 2009.
Penalization of imprecision. WPMSIIP 2009, München, Germany, 11 September 2009.
The likelihood approach to statistics as a theory of imprecise probability. WPMSIIP 2009, München, Germany, 11 September 2009.
Hierarchical networks. WPMSIIP 2009, München, Germany, 10 September 2009.
A generalization of credal networks. ISIPTA '09, Durham, UK, 17 July 2009.
A generalization of credal networks. LMU Munich, München, Germany, 24 June 2009.
Decision making under model uncertainty. City University of New York, New York, USA, 24 April 2009.
The likelihood approach to statistics. University of Bath, Bath, UK, 15 January 2009.
The likelihood approach to statistics. Durham University, Durham, UK, 9 December 2008.
Fuzzy probabilities based on the likelihood function. SMPS 2008, Toulouse, France, 8 September 2008.
Statistical decisions based directly on the likelihood function. WPMSIIP 2008, Durham, UK, 15 May 2008.
A hierarchical model based on the likelihood function. WPMSIIP 2008, Durham, UK, 12 May 2008.
Likelihood-based evaluations. LMU Munich, München, Germany, 8 January 2008.
A hierarchical model based on the likelihood function. LMU Munich, München, Germany, 6 November 2007.
Statistical decisions based directly on the likelihood function. ETH Zurich, Zürich, Switzerland, 19 March 2007.
Likelihood-based statistical decisions. ETH Zurich, Zürich, Switzerland, 2 December 2005.
Likelihood-based statistical decisions. University of Bonn, Bonn, Germany, 3 November 2005.
Likelihood-based statistical decisions. ISIPTA '05, Pittsburgh, USA, 23 July 2005.
Combining belief functions issued from dependent sources. ISIPTA '03, Lugano, Switzerland, 16 July 2003.
München, 31. August 2014