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.