A Machine Learning Approach to Incorporating Industry Mortality Table Features into a Company's Insured Mortality Analysis
The Product Development Section, the Modeling Section, the Reinsurance Section and the Financial Reporting Section announce the release of a new research report that introduces a novel framework for leveraging the “architecture” of an industry mortality table within a company’s predictive analytics-based insured mortality analysis. Authored by Marc Vincelli, the paper presents methodology for insurers to better model the relationships between mortality cells across ages and durations when faced with sparse experience data. One potential application of the approach is in the initial calibration of an industry mortality table, via its learned features, to a company’s own experience.
The Sponsors would like to thank the individuals who served on the Project Oversight Group:
June Quah – Chair
Mervin Kopinsky, SOA Experience Studies Actuary
Jan Schuh, SOA Sr. Research Administrator
Ronora Stryker, SOA Sr. Practice Research Actuary
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