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This session explored some statistical techniques that enable a multivariate approach for insurance pricing. Learn how these methods can help reshape traditional pricing methods and facilitate a shift from single variable experience analysis to more rigorous data-driven models capturing multidimensional relationships.

Key takeaways from the session are:

• Understanding basic statistical methods and a comparison to traditional Actuarial experience study analysis (i.e., Actual to Expected analysis)
• How pricing is influenced by concepts like interaction, correlation, and causality