Categories
- ACTUARIAL DATA SCIENCE
- AFIR / ERM / RISK
- ASTIN / NON-LIFE
- BANKING / FINANCE
- DIVERSITY & INCLUSION
- EDUCATION
- HEALTH
- IACA / CONSULTING
- LIFE
- PENSIONS
- PROFESSIONALISM
- Thought Leadership
- MISC
Mathematical Aspects of Machine Learning
uploaded May 22, 2019
Views: 816
Comments: 0
Favorite: 2
CPD
Speakers:
Description:
In this presentation, we will explore a range of different methods to perform feature extraction in mortality time series data. The features will then be incorporated into state space modelling structures as well as extended Generalised Linear Models adapted for time series to enhance classical Lee Carter Period-Cohort type mortality models. Results will be studied on national level statistics for mortality for a range of different countries.
Categories:
ACTUARIAL DATA SCIENCE
Content groups:
content2018, content2019
0 Comments
There are no comments yet. Add a comment.