Advanced Topics in Stochastics Calculus

A.Y. 2024/2025
6
Max ECTS
47
Overall hours
SSD
MAT/06
Language
Italian
Learning objectives
The goal of the course is to explore stochastic calculus in depth, by extending the study of stochastic integration from Brownian motion to continuous local martingales. Moreover, based on such an extension, we will turn to other important topics such as: generalised Girsanov theorem, local times and Tanaka's formula as an extension of Ito's formula, weak solutions of stochastic differential equations and Stroock-Varadhan martingale problem, propagation of chaos for mean-field particle systems.
Expected learning outcomes
Detailed knowledge of stochastic calculus for continuous semimartingales (even in a non-regular context) with an introduction to limit theorems for mean-field particle systems.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
Second semester
MAT/06 - PROBABILITY AND STATISTICS - University credits: 6
Practicals: 12 hours
Lessons: 35 hours
Shifts:
Turno
Professor: Fuhrman Marco Alessandro
Professor(s)
Reception:
Monday, 10:30 am - 1:30 pm (upon appointment, possibly suppressed for academic duties)
Department of Mathematics, via Saldini 50, office 1017. On line if required by the pandemic conditions.