Bayesian Adjustment for Insurance Misrepresentation in Heavy-Tailed Loss Regression

Bayesian Adjustment for Insurance Misrepresentation in Heavy-Tailed Loss Regression

In this paper, we study the problem of misrepresentation under heavy-tailed regression models with the presence of both misrepresented and correctly-measured risk factors. Misrepresentation is a type of fraud when a policy applicant gives a false statement on a risk factor that determines the insura...

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Bibliographic Details
Main Author: Michelle Xia
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Risks
Subjects:
misrepresentation
rate making
predictive analytics
heavy-tailed regression models
Bayesian inference
Markov chain Monte Carlo
Online Access:http://www.mdpi.com/2227-9091/6/3/83

Internet

http://www.mdpi.com/2227-9091/6/3/83

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