Practical Considerations

Machine Learning in Non-Life Reserving

Preface
1 Introduction
Foundations
Data
- 11 simulationmachine engine for simulating data
- 12 SPLICE
Literature review
Research
Practical Considerations
- 19 Practical Considerations Part 1: Time & Resource Limitations
Surveys
- 20 2020 Surveys of the use of ML in reserving
21 Summary

Practical Considerations

Members of the Practical Considerations workstream look at practical issues facing those wishing to use ML techniques in their day-to-day reserving work.

18 From Chain Ladder to Individual Mixture Density Networks on SPLICE Data

19 Practical Considerations Part 1: Time & Resource Limitations