This review explores data-centric approaches for modeling insured events in insurance mathematics, indicating advancements in actuarial sciences.
In insurance mathematics and actuarial sciences, modeling the dynamics of insured events is a pivotal challenge that demands advanced and sophisticated techniques due to the growing complexity of insurance markets. This complexity, coupled with the exponential growth in data availability in recent years, has acted as a catalyst for the adoption of datacentric approaches in forecasting random phenomena.
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Olivier Menoukeu Pamen (2025) studied this question.
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