Spring 2027 Statistics GR5264 section 001

STOCHASTC PROCSSES-APPLICTNS I

STOCHASTC PROCSSES-APPLIC

Call Number 14465
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor Jaehyuk Choi
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.
Department Statistics
Enrollment 0 students (125 max) as of 8:06PM Tuesday, October 13, 2026
Subject Statistics
Number GR5264
Section 001
Division Graduate School of Arts and Sciences
Open To Engineering:Graduate, GSAS
Section key 20271STAT5264G001