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Stochastic Models

Stochastic Models are important for the quantitative analysis in

situations where uncertainty plays a central role, such as

expectations/forecasts, imprecise data, measurement errors. Applications

include behavioural models in economics and natural sciences (e.g.,

decision under uncertainty, game theory), analysis of algorithms,

financial markets and business processes, and risk management/analysis in

insurance and finance.



Immanuel Bomze

Walter Gutjahr

Irene Klein

Georg Pflug

Werner Schachinger


Institut für Statistik und Operations Research
University of Vienna

Oskar-Morgenstern-Platz 1
1090 Vienna, Austria

T: +43-1-4277-386 01
University of Vienna | Universitätsring 1 | 1010 Vienna | T +43-1-4277-0