Vladimir Manewitsch works on the development and testing of data analysis methods in the context of market decisions. Currently, his research concentrates on the methods of artificial intelligence, in particular on causal analytical approaches. The aim is to detect and analyze relevant mechanisms by using data and behavioral analysis - with a special focus on decisions of consumers and companies.
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Publications:
Lipovetsky, S., & Manewitsch, V. (2018). Analytical Closed-Form Solution for General Factor with Many Variables. Journal of Modern Applied Statistical Methods,17(2), Forthcoming.
Manewitsch, V. (2013). Statistische Methoden zur Analyse von Daten mit strukturell fehlenden Werten: Mit Anwendungen aus der Marktforschung. Dissertation, Universitätsbibliothek der Universität Erlangen-Nürnberg.