Advanced Probability

Learning Goals

At the end of the course the students will know some modern techniques in probability. Moreover, they will be able to use the studied methodologies in order to solve problems coming from the applications.

Program in pills

Stochastic processes. Brownian Motion. Martingales. Markov Processes. The Stochastic Integral. Stochastic Calculus. Stochastic Differential Equations.

Area

Mathematical and statistical modelling

Curriculum Foundations
TAF Type

D

Curriculum Industry
TAF Type

D

Curriculum Health
TAF Type

Curriculum Economy
TAF Type

SSD

MAT/06

ECTS

6

Semester

2

Lecturers

Marco Barchiesi