Spring 2026 Statistics GR5293 section 001

TOPICS IN MODERN STATISTICS

INTERPTBLE MACHN LEARNING

Call Number 14023
Day & Time
Location
TR 2:40pm-3:55pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Joyce T Robbins
Type LECTURE
Method of Instruction In-Person
Course Description

This course covers topics in statistical finance, with a focus on methodological and practical problems. Topics will include an overview of common financial data, regression and machine learning methods in prediction, models of volatility and covariance, and a survey of topics in risk management and portfolio construction.

Web Site Vergil
Department Statistics
Enrollment 44 students (86 max) as of 9:07PM Monday, December 15, 2025
Subject Statistics
Number GR5293
Section 001
Division Interfaculty
Open To Engineering:Graduate, GSAS
Note DSI and STAT MA students only.
Section key 20261STAT5293G001