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Fall 2017 Statistics GR5264 section 002
STOCHASTC PROCSSES-APPLICTNS I

Call Number 72644
Day & Time
Location
MW 4:10pm-5:25pm
517 Hamilton Hall
Points 3
Approvals Required None
Instructor Lars T Nielsen
Type LECTURE
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 CourseWorks
Department Statistics
Enrollment 78 students (81 max) as of 11:50PM Tuesday, November 21, 2017
Final Exam Day/Time
M 4:10pm-7:00pm
Final Location 517 Hamilton Hall
Subject Statistics
Number GR5264
Section 002
Division Graduate School of Arts and Sciences
Open To Graduate School of Arts and Science
Campus Morningside
Note Stat MA & Math Finance Program students only
Section key 20173STAT5264G002

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SIS update 11/21/17 23:50    web update 11/22/17 07:48