Forschung

Research interests

Journal Papers

• Plass, J. and Cattaneo, M. and Schollmeyer, G. and Augustin, T. On the testability of coarsening assumptions: A hypothesis test for subgroup independence. International Journal of Approximate Reasoning, 90:292-306, 2017.

Papers in Proceedings

• Plass, J. and Omar, A. and Augustin, T. Towards a cautious modelling of missing data in small area estimation. 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 253-264. PMLR, 2017.
• Plass, J. and Cattaneo, M. and Schollmeyer, G. and Augustin, T. Testing of coarsening mechanisms: Coarsening at random versus subgroup independence. In Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors, Soft Methods for Data Science (SMPS 2016), series Advances in Intelligent Systems and Computing, pages 415-422. Springer, 2016.
• Plass, J. and Augustin, T. and Cattaneo, M. and Schollmeyer, G. Statistical modelling under epistemic data imprecision: Some results on estimating multinomial distributions and logistic regression for coarse categorical data. In Thomas Augustin, Serena Doria, Enrique Miranda, and Erik Quaeghebeur, editors, ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, pages 247-256, Rome, 2015. Aracne.
• Plass, J. and Fink and P. and Schöning, N. and Augustin, T. Statistical modelling in surveys without neglecting the undecided: Multinomial logistic regression models and imprecise classification trees under ontic data imprecision. In Thomas Augustin, Serena Doria, Enrique Miranda, and Erik Quaeghebeur, editors, ISIPTA '15, Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, pages 257-266, Rome, 2015. Aracne.

Technical reports / Preprints

• Plass, J. and Cattaneo, M. and Augustin, T. and Schollmeyer, G., Heumann, C. Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data. Technical Report 206, Department of Statistics, LMU Munich, 2017. (A preliminary version is cited in the ISIPTA '17 paper therein entitled 'Reliable categorical regression analysis for non-randomly coarsened data'.)
• Plass, J. and Cattaneo, M. and Schollmeyer, G. and Augustin, T. On the testability of coarsening assumptions: A hypothesis test for subgroup independence, Technical Report 201, LMU Munich, Department of Statistics, 2017.
• Version of a technical report with supplementary material referred to in the ISIPTA '17 paper (15.03.2017): Plass, J. and Omar, A. and Augustin, T. Towards a cautious modelling of missing data in small area estimation
• Version of a technical report with supplementary material referred to in the ISIPTA '15 paper about epistemic data imprecision (29.02.2016): Plass, J. and Augustin, T. and Cattaneo, M. and Schollmeyer, G. Statistical modelling under epistemic data imprecision
• Plass, J. and Fink, P. and Schöning, N. and Augustin, T. Statistical modelling in surveys without neglecting "the undecided": Multinomial logistic regression models and imprecise classification trees under ontic data imprecision Technical Report 179, LMU Munich, Department of Statistics, 2015.

Posters

• Plass, J. and Augustin, T. and Cattaneo, M. and Schollmeyer, G. Statistical modelling under epistemic data imprecision
• Plass, J. and Fink and P. and Schöning, N. and Augustin, T. Statistical modelling in surveys without neglecting the undecided

Theses

• Coarse categorical data under epistemic and ontologic uncertainty: Comparison and extension of some approaches. Master thesis, LMU Munich, Department of Statistics, 2013.
• Vom Konzept der Ungleichheit zur Armutsmessung. Bachelor thesis, LMU Munich, Department of Statistics, 2010.

Talks

• Reliable likelihood inference under coarse data and the (non-)testability of coarsening assumptions, Invited by Dr. Sabine Zinn, 29th of January 2018
• Towards a cautious modelling of missing data in small area estimation, Statistical Week, Rostock, 21st of September 2017
• Towards a cautious modelling of missing data in small area estimation, ISIPTA '17, Lugano, 11th of July 2017
• Categorical regression analysis for coarse data, Invited by Prof. Hüllermeier, 2nd of December 2017
• Testing of coarsening mechanisms: Coarsening at random versus subgroup independence, SMPS 2016, Rome, 12-14th of September 2016
• Reliable incorporation of auxiliary information in regression analysis with a coarse categorical response variable, Sommerklausur des Instituts für Statistik, Holzhausen am Ammersee, 10th/11th of June 2016
• Reliable analysis of categorical data under epistemic imprecision, CM Statistics (ERCIM 2015), London, 12-14th of December 2015
• Cautious statistical modelling for categorical data under epistemic and ontic data imprecision, 21. DStatG Nachwuchsworkshop, Hamburg, 14th/15th of September 2015
• Statistical modelling under epistemic data imprecision: Some results, next steps, questions, WPMSIIP 2015, Munich, 1st-6th of September 2015
• Statistical modelling under epistemic data imprecision, ISIPTA '15, Pescara, 20th-24th of July 2015
• Coarse categorical data under ontologic and epistemic uncertainty, WPMSIIP 2014, Gent, 08th-12th of September 2014
• Coarse categorical data under ontologic and epistemic uncertainty, Sommerklausur des Instituts für Statistik, Holzhausen am Ammersee, 5th/6th of July 2014

Awards

• ISIPTA '17: IJAR Young Researcher Award
• SMPS '16: IJAR Best Paper Award for the paper 'Testing of coarsening mechanisms: Coarsening at random versus subgroup independence' (together with Cattaneo, Schollmeyer, Augustin)
• ISIPTA '15: Poster Award for the poster Statistical modelling under epistemic data imprecision (together with Augustin, Cattaneo, Schollmeyer)
• ISIPTA '15: Poster Award for the poster Statistical modelling in surveys without neglecting the undecided (together with Fink, Schöning, Augustin)