Spatial Modeling of Auto Insurance Loss Metrics to Uncover Impact of COVID-19 Pandemic

This study addresses key challenges in auto insurance territory risk analysis by examining the complexities of spatial loss data and the evolving landscape of territorial risks before and during the COVID-19 pandemic. Traditional approaches, such as spatial clustering, are commonly used for territor...

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Bibliographic Details
Main Authors: Shengkun Xie, Jin Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/9/1416
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