Temporal Clustering of the Causes of Death for Mortality Modelling
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- Adrian O’Hagan & Colm Ferrari, 2017. "Model-Based and Nonparametric Approaches to Clustering for Data Compression in Actuarial Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(1), pages 107-146, January.
- Ewa Tabeau & Peter Ekamper & Corina Huisman & Alinda Bosch, 1999. "Improving Overall Mortality Forecasts by Analysing Cause-of-Death, Period and Cohort Effects in Trends," European Journal of Population, Springer;European Association for Population Studies, vol. 15(2), pages 153-183, June.
- Alai, Daniel H. & Arnold (-Gaille), Séverine & Sherris, Michael, 2015. "Modelling cause-of-death mortality and the impact of cause-elimination," Annals of Actuarial Science, Cambridge University Press, vol. 9(1), pages 167-186, March.
- Arnold, Séverine & Glushko, Viktoriya, 2021. "Cause-specific mortality rates: Common trends and differences," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 294-308.
- Booth, H. & Tickle, L., 2008. "Mortality Modelling and Forecasting: a Review of Methods," Annals of Actuarial Science, Cambridge University Press, vol. 3(1-2), pages 3-43, September.
- Kaishev, Vladimir K. & Dimitrova, Dimitrina S. & Haberman, Steven, 2007. "Modelling the joint distribution of competing risks survival times using copula functions," Insurance: Mathematics and Economics, Elsevier, vol. 41(3), pages 339-361, November.
- Guojun Gan & Emiliano A. Valdez, 2020. "Data Clustering with Actuarial Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 24(2), pages 168-186, April.
- Gan Guojun & Valdez Emiliano A., 2016. "An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-19, December.
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Keywords
unsupervised learning; cause of death; insurance; hierarchical clustering; spatial modelling; applications of statistics;All these keywords.
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