Experience rating in the classic Markov chain life insurance setting
DOI10.1007/s13385-019-00190-5zbMath1422.91347OpenAlexW2910703230WikidataQ128537499 ScholiaQ128537499MaRDI QIDQ2323664
Publication date: 3 September 2019
Published in: European Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13385-019-00190-5
empirical Bayesshrinkageexperience ratingclassic Markov chain life insurance settingmultivariate frailty
Applications of statistics to actuarial sciences and financial mathematics (62P05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Actuarial mathematics (91G05)
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- Simulation of nonhomogeneous poisson processes by thinning
- Survival and event history analysis. A process point of view
- Statistical analysis of counting processes
- Theory of partial likelihood
- Analysis of multivariate survival data
- Multistate models in health insurance
- Machine learning techniques for mortality modeling
- Comparison of Some Bayesian Analyses of Heterogeneity in Group Life Insurance
- Reserves in Life and Pension Insurance
- A CREDIBILITY APPROACH FOR COMBINING LIKELIHOODS OF GENERALIZED LINEAR MODELS
- A partial internal model for longevity risk
- Consistent Estimation of the Expected Brier Score in General Survival Models with Right‐Censored Event Times
- Markov Chain Models in Life Insurance
- Book Reviews
- Book Reviews
- Statistical models based on counting processes
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