Abstract
In this final chapter, we summarize the three proposed Bayesian claims reserving models and suggest a Bayesian modelling procedure for use when facing a real problem. Finally, other considerations with respect to Bayesian methodology and actuarial applications are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bishop, C. M. (2006). Pattern recognition and machine learning. New York: Springer.
Christiansen, M., & Niemeyer, A. (2014). The fundamental definition of the solvency capital requirement in Solvency II. ASTIN Bulletin, 44, 501–533.
Genest, C., Rémillard, B., & Beaudoin, D. (2009). Goodness-of-fit tests for copulas: A review and a power study. Insurance: Mathematics and Economics, 44, 199–213.
Joe, H. (2014). Dependence modeling with copulas. New York: Chapman & Hall.
Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. (2000). WinBUGS—A Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing, 10, 325–337.
Minka, T. P. (2001). Expectation propagation for approximate Bayesian inference. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (pp. 362–369). Morgan Kaufmann Publishers Inc.
Saluz, A. (2015). Prediction uncertainties in the Cape Cod reserving method. Annals of Actuarial Science, 9, 239–263.
Saluz, A., Gisler, A., & Wüthrich, M. V. (2011). Development pattern and prediction error for the stochastic Bornhuetter-Ferguson claims reserving method. ASTIN Bulletin, 41, 279–313.
Simpson, L., & McCourt, P. (2012). Worksafe Victoria actuarial valuation of outstanding claims liability for the scheme as at 30 June 2012, Technical report. PricewaterhouseCoopers Actuarial Pty Ltd.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Gao, G. (2018). Epilogue. In: Bayesian Claims Reserving Methods in Non-life Insurance with Stan. Springer, Singapore. https://doi.org/10.1007/978-981-13-3609-6_7
Download citation
DOI: https://doi.org/10.1007/978-981-13-3609-6_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3608-9
Online ISBN: 978-981-13-3609-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)