Credibility Theory: New Developments and Applications
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: closed (31 May 2018) | Viewed by 3453
Interests: distributions theory; Bayesian statistics; robustness; Bayesian applications in economics (actuarial, credibility, ruin theory)
Special Issues, Collections and Topics in MDPI journals
Credibility theory is a powerful statistical tool used in the actuarial sciences to accurately predict uncertain future events by using the classical and Bayesian approach. This methodology, apart from including a huge variety of attractive and nicely formulated mathematical structure (i.e. models are derive from different approaches, classical and Bayesian statistics, functional analysis -Hilbert spaces- of the classical regression -least squares method-, etc.), its implementation is straightforward. Its major field of application, although not limited to, is the calculation of insurance premiums (mainly in the automobile sector), bonus-malus systems, reinsurance, operational risks, etc. The main objective is to jointly use two fundamental sources of information, individual and collective information (insurance portfolio, which has a heterogeneous character) with the goal of computing a fair insurance rate. In recent years, mainly due to computer advances, classic and Bayesian regression models have also played a prominent role in this discipline.
This Special Issue is open to both original research articles and review articles within the area of credibility theory.
Prof. Dr. Emilio Gómez Déniz
Manuscript Submission Information
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- Claims and Loss Distribution
- Non-Life Insurance
- Risk Measure.