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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.
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