Predicting Multivariate Insurance Loss Payments Under the Bayesian Copula Framework

The literature of predicting the outstanding liability for insurance companies has undergone rapid and profound changes in the past three decades, most recently focusing on Bayesian stochastic modeling and multivariate insurance loss payments. In this article, we introduce a novel Bayesian multivari...

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Bibliographic Details
Published in:	The Journal of risk and insurance Vol. 80; no. 4; pp. 891 - 919
Main Authors:	Zhang, Yanwei, Dukic, Vanja
Format:	Journal Article
Language:	English
Published:	Malvern Blackwell Publishing Ltd 01.12.2013 Wiley Periodicals, Inc Blackwell American Risk and Insurance Association, Inc
Subjects:	Accidents Actuarial science Analysis Automobile insurance Bayes-Statistik Bayesian analysis Bayesian statistical decision theory Copula functions Economic aspects Evaluation Financial analysis Generalized linear model Industry forecasts Insurance claims Insurance companies Insurance industry Liability (Law) Liability insurance Loss reserves Management Methods Modeling Multivariate analysis Multivariate Verteilung Parametric models Predictive modeling Property & casualty insurance Property and casualty insurance Risikomodell Schadenversicherung Statistical inference Trends Verlustverrechnung Workers compensation insurance United States
ISSN:	0022-4367, 1539-6975
Online Access:	Get full text
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