Measuring mortality heterogeneity with multi-state models and interval-censored data
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Publication:506072
DOI10.1016/j.insmatheco.2016.09.014zbMath1394.91192OpenAlexW2277826613MaRDI QIDQ506072
Nicole El Karoui, Alexandre Boumezoued, Stéphane Loisel
Publication date: 31 January 2017
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2016.09.014
longevity riskmulti-state modelsparametric maximum likelihoodinterval-censoringmortality heterogeneity
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Cites Work
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- Managing longevity and disability risks in life annuities with long term care
- Application of survival analysis methods to long-term care insurance.
- The impact of the determinants of mortality on life insurance and annuities
- Applications of a multi-state risk factor/mortality model in life insurance
- Semi-Markov Models with Phase-Type Sojourn Distributions
- Statistical methods for panel data from a semi-Markov process, with application to HPV
- Nonparametric Estimation in a Markov “Illness–Death” Process from Interval Censored Observations with Missing Intermediate Transition Status
- The Analysis of Panel Data Under a Markov Assumption
- Bayesian Information Criterion for Censored Survival Models
- Likelihood for Generally Coarsened Observations from Multistate or Counting Process Models
- Choice between Semi‐parametric Estimators of Markov and Non‐Markov Multi‐state Models from Coarsened Observations
- Calculation of LTC Premiums Based on Direct Estimates of Transition Probabilities
- A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia
- Statistical models based on counting processes
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