Enrollment year
2020/2021
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Curriculum
PERCORSO COMUNE
Period
1st semester (01/10/2020 - 20/01/2021)
Lesson hours
84 lesson hours
Prerequisites
A basic course of introduction to probability and study of intermediate analysis and measure theory will provide helpful background
Learning outcomes
Deep analysis of the Kolmogorov theory of probability, with a view to its application to the study of the general theory of stochastic processes.
Course contents
1. - Probability spaces, independence, random variables
2.- Expectation, integral, basic inequalities
3.- Convergence in probability. Relations with a.s. convergence and Lp convergence
4.- Laws of large numbers.
6. Characteristic function of a probability distribution
(Fourier-Stieltjes transform)
7.- Weak convergence of probability laws. The central limit theorem.
8.- Conditional expectation
9.- Martingales with discrete time. Applications of the martingale theory
10. - Hints on Borel probability measures in infinite dimensions
Teaching methods
Lectures on the theory and introduction to problem solving through exercises done in the classroom.
Reccomended or required readings
D. Williams: Probability with martingales. Cambridge University Press, 1991.
S. Resnick, A Probability Path, Brikhauser, 1999.
P. Billingsley: Probability and measure. 3nd edition. Wiley series in Probability and Mathematical Statistics, 1986.
Assessment methods
Oral examination on the theoretical part together with check of some problems similar to those developed in the classroom.
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