Fall 2024 Statistics GR5263 section 002

STAT INF/TIME-SERIES MODELLING

STAT INF/TIME-SERIES MODE

Call Number 15205
Day & Time
Location
S 10:10am-12:40pm
301 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Franz Rembart
Type LECTURE
Method of Instruction In-Person
Course Description

Available to SSP, SMP Modeling and inference for random processes, from natural sciences to finance and economics. ARMA, ARCH, GARCH and nonlinear models, parameter estimation, prediction and filtering.

Web Site Vergil
Department Statistics
Enrollment 93 students (100 max) as of 11:06AM Tuesday, December 3, 2024
Subject Statistics
Number GR5263
Section 002
Division Graduate School of Arts and Sciences
Open To GSAS
Note Math Finance & Stat MA 2nd year students only.
Section key 20243STAT5263G002