Publications of Marco E. G. V. Cattaneo

Monographs:

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:

Reliable inference in categorical regression analysis for non-randomly coarsened observations (with J. Plaß, T. Augustin, G. Schollmeyer, and C. Heumann). International Statistical Review, in press. [the unformatted version is freely available here]

Upstream passage of adult sea trout (Salmo trutta) at a low-head weir with an Archimedean screw hydropower turbine and co-located fish pass (with J.R. Dodd, J.D. Bolland, J. Hateley, I.G. Cowx, S.E. Walton, and R.A.A. Noble). Marine and Freshwater Research 69 (2018) 1822–1833. [the unformatted version is freely available here]

Different distance measures for fuzzy linear regression with Monte Carlo methods (with D. İçen). Soft Computing 21 (2017) 6687–6697. [the unformatted version is freely available here]

The likelihood interpretation as the foundation of fuzzy set theory. International Journal of Approximate Reasoning 90 (2017) 333–340. [the unformatted version is freely available here]

On the testability of coarsening assumptions: A hypothesis test for subgroup independence (with J. Plaß, G. Schollmeyer, and T. Augustin). International Journal of Approximate Reasoning 90 (2017) 292–306. [the unformatted version is freely available here]

Empirical interpretation of imprecise probabilities. Proceedings of Machine Learning Research 62 (2017) 61–72.

Transverse fracture properties of green wood and the anatomy of six temperate tree species (with S. Özden and A.R. Ennos). Forestry 90 (2017) 58–69.

Testing of coarsening mechanisms: coarsening at random versus subgroup independence (with J. Plaß, G. Schollmeyer, and T. Augustin). Soft Methods for Data Science (M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M.Á. Gil, P. Grzegorzewski, and O. Hryniewicz, eds.), Advances in Intelligent Systems and Computing 456, Springer, 2017, pp. 415–422. [the unformatted version is freely available here]

The likelihood interpretation of fuzzy data. Soft Methods for Data Science (M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M.Á. Gil, P. Grzegorzewski, and O. Hryniewicz, eds.), Advances in Intelligent Systems and Computing 456, Springer, 2017, pp. 113–120. [the unformatted version is freely available here]

On maxitive integration. Fuzzy Sets and Systems 304 (2016) 65–81. [the unformatted version is freely available here]

Conditional probability estimation. Journal of Machine Learning Research: Workshop and Conference Proceedings 52 (2016) 86–97.

Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing (with G.P. Aquino and D.A. Guimarães). KSII Transactions on Internet and Information Systems 10 (2016) 996–1015.

On the validity of minimin and minimax methods for Support Vector Regression with interval data (with A. Wiencierz). ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications (T. Augustin, S. Doria, E. Miranda, and E. Quaeghebeur, eds.), Aracne, 2015, pp. 325–332.

Statistical modelling under epistemic data imprecision: Some results on estimating multinomial distributions and logistic regression for coarse categorical data (with J. Plaß, T. Augustin, and G. Schollmeyer). ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications (T. Augustin, S. Doria, E. Miranda, and E. Quaeghebeur, eds.), Aracne, 2015, pp. 247–256.

Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing (with D.A. Guimarães and G.P. Aquino). IWT 2015, Proceedings of the International Workshop on Telecommunications, Inatel, 2015, pp. 56–60. [the unformatted version is freely available here]

Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing (with D.A. Guimarães and G.P. Aquino). Sensors 15 (2015) 10891–10908.

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, 2013, 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.

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.

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:

Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data (with J. Plaß, T. Augustin, G. Schollmeyer, and C. Heumann). Technical Report 206, Department of Statistics, LMU Munich, 2017.

On the testability of coarsening assumptions: A hypothesis test for subgroup independence (with J. Plaß, G. Schollmeyer, and T. Augustin). Technical Report 201, Department of Statistics, LMU Munich, 2017.

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:

Empirical interpretation of imprecise probabilities. ISIPTA '17 - ECSQARU 2017, Lugano, Switzerland, 10 July 2017.

On the validity of minimin and minimax methods for Support Vector Regression with interval data (with A. Wiencierz). ISIPTA '15, Pescara, Italy, 22 July 2015.

Statistical modelling under epistemic data imprecision: Some results on estimating multinomial distributions and logistic regression for coarse categorical data (with J. Plaß, T. Augustin, and G. Schollmeyer). ISIPTA '15, Pescara, Italy, 21 July 2015.

M-estimation with imprecise data. ISIPTA '15, Pescara, Italy, 20 July 2015.

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:

On the estimability of interval probabilities. University of Hull, Hull, UK, 14 March 2018.

Empirical interpretation of imprecise probabilities. ISIPTA '17 - ECSQARU 2017, Lugano, Switzerland, 10 July 2017.

Testing of coarsening mechanisms: Coarsening at random versus subgroup independence (with J. Plaß, G. Schollmeyer, and T. Augustin). SMPS 2016, Rome, Italy, 12 September 2016.

The likelihood interpretation of fuzzy data. SMPS 2016, Rome, Italy, 12 September 2016.

Conditional probability estimation. PGM 2016, Lugano, Switzerland, 7 September 2016.

Maxitive measure and integral. University of Hull, Hull, UK, 6 April 2016.

Probability and paradoxes. University of Hull, Hull, UK, 8 March 2016.

The birthday paradox. University of Hull, Hull, UK, 5 March 2016.

The ways of chance. University of Hull, Hull, UK, 5 March 2016.

The birthday paradox. University of Hull, Hull, UK, 20 February 2016.

M-estimation when data values are not completely known. CFE-CMStatistics 2015, London, UK, 13 December 2015.

Reliable analysis of categorical data under epistemic imprecision (with J. Plaß, T. Augustin, and G. Schollmeyer). CFE-CMStatistics 2015, London, UK, 13 December 2015.

Support Vector Regression with interval data (with A. Wiencierz). University of Hull, Hull, UK, 4 November 2015.

The birthday paradox. University of Hull, Hull, UK, 10 October 2015.

On the validity of minimin and minimax methods for Support Vector Regression with interval data (with A. Wiencierz). ISIPTA '15, Pescara, Italy, 22 July 2015.

Statistical modelling under epistemic data imprecision: Some results on estimating multinomial distributions and logistic regression for coarse categorical data (with J. Plaß, T. Augustin, and G. Schollmeyer). ISIPTA '15, Pescara, Italy, 21 July 2015.

Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing (with D.A. Guimarães and G.P. Aquino). IWT 2015, Santa Rita do Sapucaí, Brazil, 15 June 2015.

The birthday paradox. University of Hull, Hull, UK, 13 June 2015.

The likelihood approach to statistical decision problems. University of York, York, UK, 21 May 2015.

The ways of chance. University of Hull, Hull, UK, 25 April 2015.

What is probability? University of Hull, Hull, UK, 21 March 2015.

What is probability? University of Hull, Hull, UK, 18 February 2015.

What is probability? University of Hull, Hull, UK, 25 October 2014.

Spacings and likelihood. WPMSIIP 2014, Gent, Belgium, 11 September 2014.

Updating and avoiding sure loss. WPMSIIP 2014, Gent, Belgium, 9 September 2014.

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.

Subjektiver Wahrscheinlichkeitsbegriff. LMU Munich, München, Germany, 10 December 2010.

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.