Principles of probability

Code 773AA
Credits 11

Learning outcomes

Stochastic processes with continuous times and Markov processes: two examples (Wiener and Poisson processes). Ito's stochastic integration, Ito's formula and applications. Stochastic differential equations and their connection with partial differential equations. Selected applications (filtering and Black-Scholes formulas).