Point Processes

Graduate Topics in Math/Stat I, MATH8048, Fall semester, 2022

Instructor: Yizao Wang
Email: yizao.wang@uc.edu
Office: 4302 French Hall
Office Hours: by appointment.
Class meeting: MWF 2:30pm - 3:25pm, Room 140 WCharlton.

Textbook

Course description

The first part of the course will be on Poisson point processes, starting with a quick review on Poisson processes. Poisson point processes are the fundamental tools to investigate rare/extremal events, and they show up in various areas within and related to probability and statistics, including spatial statistics, stochastic geometry, stochastic combinatorial structures, and number theory.

The second part will be on determinantal point processes, which are extensively used in random matrix theory and integrable probability.

Various examples/applications will be provided from the aforementioned fields.

Pre-req: Probabilith Theory (MATH/STAT7032).

Assignments and Grades

Tentative Schedule and Homework

HWs will be posted, downloaded, submitted and graded via Canvas. See info/deadlines there.