Morbidity
-
A Statistical Framework for Enhancing Basic Actuarial Assumptions Using External Data Sources and AI Techniques: Part 1
The article provides a general modeling technique to enhance base actuarial assumptions using multiple linear regression and AI techniques. The modeling framework provides a novel way to combine risk factors impacting a base actuarial assumption from various independent data sources to create an aggregate risk adjustment factor that is logical and consistent.
Welcome to our medium.
Dive into insightful content. Gain practical knowledge. Explore the latest research and key information for future use. Discover the Emerging Topics Community, an online forum that focuses on three main topic areas–Modeling, Predictive Analytics and Futurism, and Technology.