Survival Models - ACST884
This unit provides sophisticated statistical and probabilistic models for survival, sickness, insurance losses and other actuarial problems based on survival data. Techniques of survival analysis are used to estimate survival and loss distributions and evaluate risk factors in actuarial applications. Methods of both nonparametric and parametric estimation are utilised. Advanced models based on Markov chains and processes will be introduced to capture the features of stochastic transitions between different survival or loss states and to estimate the transition rates. Methods for valuing cashflows that are contingent upon multiple transition events and methods of projecting and valuing such expected cashflows will also be covered.
| Credit Points: | 4 |
| When Offered: | S1 Day - Session 1, North Ryde, Day |
| Staff Contact(s): | Dr Xian Zhou |
| Prerequisites: | |
| Corequisites: | |
| NCCW(s): | ACST818 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Actuarial Studies and Business Analytics Faculty of Business and Economics |
Course structures, including unit offerings, are subject to change.
Need help? Ask us.