Fall 2023 Statistics GR5264 section 001

STOCHASTC PROCSSES-APPLICTNS I

STOCHASTC PROCSSES-APPLIC

Call Number 13399
Day & Time
Location
MW 4:10pm-5:25pm
142 Uris Hall
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 36 students (65 max) as of 8:07PM Wednesday, May 1, 2024
Subject Statistics
Number GR5264
Section 001
Division Graduate School of Arts and Sciences
Open To GSAS
Campus Morningside
Note Stat MA and Math Finance students only.
Section key 20233STAT5264G001