Prediction error for credible claims reserves: an \(h\)-likelihood approach
DOI10.1007/S13385-013-0072-XzbMath1304.91104OpenAlexW2055048219MaRDI QIDQ487577
Liviana Picech, Luciano Sigalotti, Patrizia Gigante
Publication date: 22 January 2015
Published in: European Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13385-013-0072-x
\(h\)-likelihoodBornhuetter-Fergusonchain-ladderclaims reservesconditional mean square error of predictioncredible claims reserveshierarchical generalized linear models
Applications of statistics to actuarial sciences and financial mathematics (62P05) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Corporate finance (dividends, real options, etc.) (91G50)
Related Items (5)
Cites Work
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- Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
- Claims reserving in the hierarchical generalized linear model framework
- A course in credibility theory and its applications
- Credible Loss Ratio Claims Reserves: the Benktander, Neuhaus and Mack Methods Revisited
- The Prediction Error of Bornhuetter/Ferguson
- Exact Credibility and Tweedie Models
- An extended quasi-likelihood function
- Standard Errors of Prediction in Generalized Linear Mixed Models
- Credible Claims Reserves: the Benktander Method
- Another pragmatic loss reserving method or Bornhuetter-Ferguson revisited
- A Bayesian Log-Normal Model for Multivariate Loss Reserving
- “A Bayesian Log-Normal Model for Multivariate Loss Reserving”, Peng Shi, Sanjib Basu, and Glenn G. Meyers, March 2012
- Generalized Linear Models with Random Effects
- A Bayesian Generalized Linear Model for the Bornhuetter-Ferguson Method of Claims Reserving
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