Fall 2024 Actuarial Science PS5824 section 001

Advanced Predictive Modeling Application

ACTUARIAL MODELS II

Call Number 12228
Day & Time
Location
MW 2:40pm-3:55pm
212A Lewisohn Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Abraham Weishaus
Type LECTURE
Method of Instruction In-Person
Course Description

This course discusses Bayesian methods for estimating linear models. We discuss three methods for estimating the Bayesian posterior: grid approximation, quadratic approximation, and Markov Chain Monte Carlo (MCMC) methods. Bayesian methods are used to estimate linear regression models and generalized linear models. We also use Bayesian methods to estimate multilevel models, also known as linear mixed models. We also estimate linear mixed models using non-Bayesian methods. We learn how to build, estimate, and evaluate these models and how to select the best one.

This class covers most of the material of Exam MAS II of the Casualty Actuarial Society. This is a core class of the Actuarial Science program. Students may take either this class or Actuarial Methods II. Those who have already taken and passed the MAS II exam for CAS are exempted from this class and can substitute an elective.

Web Site Vergil
Department Actuarial Science
Enrollment 10 students (20 max) as of 9:05PM Monday, December 2, 2024
Subject Actuarial Science
Number PS5824
Section 001
Division School of Professional Studies
Note PRIORITY TO ACTU; OPEN TO CU. IN-PERSON.
Section key 20243ACTU5824K001