Data-enriched prediction of insurance risk
In this study, we examine the impact of big data and corresponding prediction techniques on insurance risk assessment. We demonstrate that both big data and the Least Absolute Shrinkage and Selection Operator (LASSO) approach, a modern predictor selection technique, effectively improve insurance ris...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2026-01-01
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| Series: | Risk Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950629825000189 |
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