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A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population
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References

  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2006A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration891 cited
  • 2006A cohort-based extension to the Lee–Carter model for mortality reduction factors734 cited
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  • 2005Coherent mortality forecasts for a group of populations: An extension of the lee-carter method623 cited
  • 2009On Stochastic Mortality Modeling271 cited
  • 2001On the Scale of Global Demographic Convergence 1950–2000262 cited
  • 2014The Blue Zones: areas of exceptional longevity around the world162 cited
  • 2019A neural network extension of the Lee–Carter model to multiple populations131 cited
  • 2018A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST110 cited
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  • 2020Time-Series Forecasting of Mortality Rates using Deep Learning96 cited
  • 2015A common age effect model for the mortality of multiple populations90 cited
  • 2019MODELLING SOCIO-ECONOMIC DIFFERENCES IN MORTALITY USING A NEW AFFLUENCE INDEX59 cited
  • 2015Phantoms Never Die: Living with Unreliable Population Data

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57 cited
  • 2022CALIBRATING THE LEE-CARTER AND THE POISSON LEE-CARTER MODELS VIA NEURAL NETWORKS37 cited
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    • 2025Mortality forecasting via multi-task neural networks8 cited