4 citations · 11 across the 17 of their papers we have counts for
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stat.AP2021
Geographic ratemaking with spatial embeddings
Christopher Blier-Wong, Hélène Cossette, Luc Lamontagne +1
Spatial data is a rich source of information for actuarial applications: knowledge of a risk's location could improve an insurance company's ratemaking, reserving or risk managemen…
stat.AP2021★ 1 cited
Rethinking Representations in P&C Actuarial Science with Deep Neural Networks
Christopher Blier-Wong, Jean-Thomas Baillargeon, Hélène Cossette +2
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. In particular, many…