ASRM 555

Spring 2025 All Classes

All Classes

Credit: 4 hours.

Emphasizes applications of advanced predictive analytics to actuarial science, finance and economics. Builds on the existing analytics topics, which are Statistics for Risk Modeling (SRM) and Predictive Analytics (PA). It will introduce advanced statistical learning methods and algorithms that can be employed to discover useful information from real-life datasets, to explain how to build a predictive model based on business problem, and to communicate the results in a scientific report.

Same as STAT 541. Prerequisite: ASRM 455.

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ASRM 555 class schedule data for spring 2025
CRN Type Section Time Day Location Instructor Section Details
74398
Lecture-Discussion
G
12:30PM -1:50PM
TR
106 David Kinley Hall
Jing, X
Part of Term:
1
Date Range:
01/21/25-05/07/25
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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