Forschung:

Artikel:

• Lange, T. and Mozharovskyi, P. (2013): “The alpha-procedure - a nonparametric invariant method for automatic classification of multi-dimensional objects”. Proceedings of the 36th Annual Conference of the German Classification Society on “Data Analysis, Machine Learning and Knowledge Discovery”, Hildesheim, 1-3 August 2012 (in press).
• Lange, T., Mosler, K. and Mozharovskyi, P. (2013): “DDα-classification of asymmetric and fat-tailed data”. Proceedings of the 36th Annual Conference of the German Classification Society on “Data Analysis, Machine Learning and Knowledge Discovery”, Hildesheim, 1-3 August 2012 (in press).
• Lange, T., Mosler, K. and Mozharovskyi, P. (2012): “Fast nonparametric classification based on data depth”. Statistical Papers (in press) (The final publication is available at www.springerlink.com).
• Lange, T., Mozharovskyi, P. and Barath, G. (2011): “Two approaches for solving tasks of pattern recognition and reconstruction of functional dependencies”. ASMDA Conference, Rome, 7-10 June 2011 (supplemented with examples and benchmark results, Statistical Week, Leipzig, 19-23 September 2011).
• Lange, T. and Mozharovskyi, P. (2010): “Depth determination for multivariate samples” (in Russian). Inductive modeling of complex systems I 2, 101-119.
• Rolick, A., Mozharovskyi, P. and Mart, B. (2010): “Application of depth-trimmed regions in IT-infrastructure control systems” (in Russian). Coll. of Papers of the 10-th Int. Conf. “Intellectual Analysis of Information“, Kyiv, 18-21 May 2010.
• Grishko, V.F. and Mozharovsky, P.F. (2009): “Management-information system hardware reliability evaluation” (in Ukrainian). Mathematical Machines and Systems N 3, 194-201.

Working Papers:

• Mozharovskyi, P., Mosler, K. and Lange, T. (2013): “Classifying real-world data with the DDα-procedure”.

Software und Daten:

• 50 real-data classification tasks
• R-package ddalpha

Lehre:

Lehrveranstaltungen:

• SS 12: Übung zu Beschreibende Statistik und Wirtschaftsstatistik (Statistik A)
• WS 12/13: Verantwortlich für die Tutorium zu Beschreibende Statistik und Wirtschaftsstatistik (Statistik A)
• SS 13: Übung zu Wahrscheinlichkeitsrechnung und schließende Statistik (Statistik B)
• SS 13: Hauptseminar Statistik