Fall 2024 Statistics GR5264 section 001

STOCHASTC PROCSSES-APPLICTNS I

STOCHASTC PROCSSES-APPLIC

Call Number 15206
Day & Time
Location
MW 4:10pm-5:25pm
428 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructor Graeme Baker
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: STAT GR5203 or the equivalent. Basics of continuous-time stochastic processes. Wiener processes. Stochastic integrals. Ito's formula, stochastic calculus. Stochastic exponentials and Girsanov's theorem. Gaussian processes. Stochastic differential equations. Additional topics as time permits.
Web Site Vergil
Department Statistics
Enrollment 95 students (100 max) as of 9:05PM Thursday, January 30, 2025
Subject Statistics
Number GR5264
Section 001
Division Graduate School of Arts and Sciences
Note Stat MA and Math Finance students only.
Section key 20243STAT5264G001