Fall 2026 Statistics GR5264 section 001

STOCHASTC PROCSSES-APPLICTNS I

STOCHASTC PROCSSES-APPLIC

Call Number 14623
Day & Time
Location
MW 1:10pm-2:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Steven Campbell
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 10 students (86 max) as of 12:06PM Tuesday, April 21, 2026
Subject Statistics
Number GR5264
Section 001
Division Graduate School of Arts and Sciences
Open To GSAS
Note Stat MA and MAFN students only.
Section key 20263STAT5264G001