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Geographic ratemaking with spatial embeddings
This paper presents a method based on data (instead of smoothing historical insurance claim losses) to construct a geographic ratemaking model.
Rethinking Representations in P&C Actuarial Science with Deep Neural Networks
Insurance companies gather a growing variety of data for use in the insurance process, but most traditional ratemaking models are not designed to support them.
Representation Learning
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