Publication archives
Big data and risk classification – Understanding the actuarial and social issues
In this statement, the CIA says that the use of big data is appropriate in insurance ratemaking, and that access to such data creates improved insight about risk and its contributing factors. Access to more data means insurance ratemaking can […]
LRMoE.jl: A Package for Insurance Loss Modelling Using a Mixture of Experts Regression Model
This paper introduces a new Julia package, LRMoE, statistical software tailor-made for actuarial applications which allows actuarial researchers and practitioners to model and analyze insurance loss frequencies and severities using the Logit-weighted Reduced Mixture of Experts (LRMoE) model. LRMoE offers […]
LRMoE: An R Package for Flexible Insurance Loss Modelling Using a Mixture of Experts Regression Model
This paper introduces a new R package, LRMoE, statistical software tailor-made for actuarial applications which allows actuarial researchers and practitioners to model and analyze insurance loss frequencies and severities using the Logit-weighted Reduced Mixture of Experts (LRMoE) model. LRMoE offers […]
Draft CIA Policy Statement – Using Big Data in Insurance: Reduce Risks, Lower Pricing, and Save Lives
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