AI RESEARCH
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
arXiv CS.LG
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ArXi:2604.21893v1 Announce Type: cross Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, cons