Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC
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Publication:3518779
DOI10.1080/10920277.2005.10596213zbMath1141.62312OpenAlexW2017139607MaRDI QIDQ3518779
Ioannis Ntzoufras, Dimitris Karlis, Athanassios Katsis
Publication date: 12 August 2008
Published in: North American Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10920277.2005.10596213
Applications of statistics to actuarial sciences and financial mathematics (62P05) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)
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Cites Work
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- On Bayesian model and variable selection using MCMC
- Bayes's two arguments for the rule of conditioning
- On the computation of aggregate claims distributions: some new approximations
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Bayesian variable and link determination for generalised linear models
- Monte Carlo methods in Bayesian computation
- An investigation into stochastic claims reserving models and the chain-ladder technique.
- Biometrika Centenary: Nonparametrics
- A comment on D. V. Lindley's statistical paradox
- On the Analysis of the Truncated Generalized Poisson Distribution Using a Bayesian Method
- Approximate Bayes factors and accounting for model uncertainty in generalised linear models
- Efficient Construction of Reversible Jump Markov Chain Monte Carlo Proposal Distributions
- On the Sensitivity of Bayes Factors to the Prior Distributions
- Principal Applications of Bayesian Methods in Actuarial Science
- A discussion of parameter and model uncertainty in insurance
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