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20152026
most citedAssessing Driving Risk Through Unsupervised Detection of Anomalies in Telematics Time Series Data

6 citations · 16 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

econ.EM2023

Claim Reserving via Inverse Probability Weighting: A Micro-Level Chain-Ladder Method

Sebastian Calcetero-Vanegas, Andrei L. Badescu, X. Sheldon Lin

Claim reserving primarily relies on macro-level models, with the Chain-Ladder method being the most widely adopted. These methods were heuristically developed without minimal stati…

stat.AP2023★ 3 cited

Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour

Ian Weng Chan, Spark C. Tseung, Andrei L. Badescu +1

With the advancement in technology, telematics data which capture vehicle movements information are becoming available to more insurers. As these data capture the actual driving be…