On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM). The latter is for modeling of ordinal variabl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-05-01
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| Series: | Risks |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2227-9091/6/2/57 |