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Modeling Hazard Rates as Functional Data for the Analysis of Cohort Lifetables and Mortality Forecasting
16 references·5 citing·36 second hop
Modeling Hazard Rates as Functional Data for the Analysis of Cohort Lifetables and Mortality Forecasting (2009)Modeling Hazard Rates as Functional Data …Modeling and Forecasting (2016)Modeling and ForecastingRobust forecasting of mortality and fertility rates: A functional data approach (2006)Robust forecasting of mortali…Demographic forecasting: 1980 to 2005 in review (2006)Demographic forecasting: 1980…Coherent mortality forecasts for a group of populations: An extension of the lee-carter method (2005)Coherent mortality forecasts …Using the Lee–Carter Method to Forecast Mortality for Populations with Limited Data* (2004)Using the Lee–Carter Method t…Smoothing and forecasting mortality rates (2004)Smoothing and forecasting mor…Projecting Mortality Trends (2004)Projecting Mortality Trends2. A Methodological Comparison of Age-Period-Cohort Models: The Intrinsic Estimator and Conventional Generalized Linear Models (2004)2. 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S…Specification and Implementation of Age, Period and Cohort Models (1985)Specification and Implementat…The age pattern of mortality (1980)The age pattern of mortalityAn age-at-death distribution approach to forecast cohort mortality (2020)An age-at-death distribution …Modeling Time-Varying Variability and Reliability of Freeway Travel Time Using Functional Principal Component Analysis (2019)Modeling Time-Varying Variabi…Gaussian process regression method for forecasting of mortality rates (2018)Gaussian process regression m…A quantitative comparison of stochastic mortality models on Italian population data (2017)A quantitative comparison of …Grouped Functional Time Series Forecasting: An Application to Age-Specific Mortality Rates (2016)Grouped Functional Time Serie…The impact of heterogeneity in individual frailty on the dynamics of mortality (1979)Aging, Natural Death, and the Compression of Morbidity (1980)A Potential Decline in Life Expectancy in the United States in the 21st Century (2005)A Potential Decline in Life Expectancy in the United States in the 21st Century (2005)Ageing populations: the challenges ahead (2009)A Poisson log-bilinear regression approach to the construction of projected lifetables (2002)Pricing Death: Frameworks for the Valuation and Securitization of Mortality Risk (2006)Mortality density forecasts: An analysis of six stochastic mortality models (2011)The Estimation of Age, Period and Cohort Effects for Vital Rates (1983)Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem (2013)Is the United States a Counterexample to the Secularization Thesis? 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(1967)Applying Lee-Carter under conditions of variable mortality decline (2002)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories (2018)The Outlook for Population Growth (2011)Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models (2012)Mortality Modelling and Forecasting: a Review of Methods (2008)
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References

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  • 1992Modeling and Forecasting U. S. Mortality2,311 cited
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  • 2006Demographic forecasting: 1980 to 2005 in review343 cited
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  • 2003Lee–Carter Mortality Forecasting: A Parallel Generalized Linear Modelling Approach for England and Wales Mortality Projections219 cited
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  • 2004Projecting Mortality Trends

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94 cited
  • 2004Using the Lee–Carter Method to Forecast Mortality for Populations with Limited Data*89 cited
  • Cited by

    • 2016Grouped Functional Time Series Forecasting: An Application to Age-Specific Mortality Rates88 cited
    • 2019Modeling Time-Varying Variability and Reliability of Freeway Travel Time Using Functional Principal Component Analysis29 cited
    • 2018Gaussian process regression method for forecasting of mortality rates26 cited
    • 2020An age-at-death distribution approach to forecast cohort mortality20 cited
    • 2017A quantitative comparison of stochastic mortality models on Italian population data20 cited