Department of Mathematics and Statistics
Concordia University
Winter 2017
TR 13:3014:45, LB75906 (SGW)
Instructor: Lea Popovic
Office: LB 92107 (SGW)
Phone: (514) 8482424 Ext 5854
email: lpopovic@mathstat.concordia.ca
Office Hours: after class and by appointment
The theory of large deviations studies probabilities of events which, in a large sample, are exponentially rare in the number of samples. We will cover standard methods including large deviations for i.i.d. sequences, occupation measures, and diffusions with small noise. This theory has found many applications in finance and risk management, simulation and sampling, as well as operations research and statistical mechanics.
The main part of the course will cover:

An advanced course in probability theory and in stochastic processes, including: LLNs, CLTs, Markov chains, martingales, Brownian motion.
"Large Deviation Techniques and Applications" by A. Dembo and O. Zeitouni (Springer).
Homework will be assigned approximately once every two weeks, during lecture. Students are encouraged to work together on homework problems, however each student must write up the homework set on their own. There will be a takehome test or project handed out in the last week of class and due a week later. The final grade will be evaluated using: Homework assignments 50%, Final exam 50%.
No class: ?, Final exam due: ?