Fall 2025 Statistics GR5264 section 001

STOCHASTC PROCSSES-APPLICTNS I

STOCHASTC PROCSSES-APPLIC

Call Number 13787
Day & Time
Location
MW 2:10pm-3:25pm
To be announced
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 21 students (86 max) as of 2:06PM Tuesday, April 22, 2025
Subject Statistics
Number GR5264
Section 001
Division Graduate School of Arts and Sciences
Open To GSAS
Note Stat MA and Math Finance students only.
Section key 20253STAT5264G001