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A Deep Learning Integrated Cairns-Blake-Dowd (CBD) Sytematic Mortality Risk Model
8 references·0 citing·28 second hopsampled
A Deep Learning Integrated Cairns-Blake-Dowd (CBD) Sytematic Mortality Risk Model (2021)A Deep Learning Integrated Cairns-Blake-D…Application of Machine Learning to Mortality Modeling and Forecasting (2019)Application of Machine Learni…A neural network extension of the Lee–Carter model to multiple populations (2019)A neural network extension of…Neural Network Embedding of the Over-Dispersed Poisson Reserving Model (2018)Neural Network Embedding of t…A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST (2018)A NEURAL-NETWORK ANALYZER FOR…Machine learning techniques for mortality modeling (2017)Machine learning techniques f…Mortality density forecasts: An analysis of six stochastic mortality models (2011)Mortality density forecasts: …A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration (2006)A Two‐Factor Model for Stocha…Modeling and Forecasting U. S. Mortality (1992)Modeling and Forecasting U. S…Reviews: Borgatta, Edgar D., ed., Sociological Methodology, 1969. San Francisco, Jossey-Bass, Inc., 1969. 302 + xvi pp. $12.50. (1972)In Search of Methuselah: Estimating the Upper Limits to Human Longevity (1990)Broken Limits to Life Expectancy (2002)Applied Mathematical Demography (2005)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)A Poisson log-bilinear regression approach to the construction of projected lifetables (2002)A cohort-based extension to the Lee–Carter model for mortality reduction factors (2006)Pricing Death: Frameworks for the Valuation and Securitization of Mortality Risk (2006)A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States (2009)Data Analytics for Non-Life Insurance Pricing (2017)AI in Actuarial Science (2018)Distribution-free Calculation of the Standard Error of Chain Ladder Reserve Estimates (1993)Analytic and bootstrap estimates of prediction errors in claims reserving (1999)Stochastic Claims Reserving in General Insurance (2002)A NEURAL NETWORK BOOSTED DOUBLE OVERDISPERSED POISSON CLAIMS RESERVING MODEL (2019)DeepTriangle: A Deep Learning Approach to Loss Reserving (2019)Individual Loss Reserving Using a Gradient Boosting-Based Approach (2019)forecast: Forecasting Functions for Time Series and Linear Models (2009)Thirty years on: A review of the Lee–Carter method for forecasting mortality (2022)A Deep Learning Integrated Lee–Carter Model (2019)Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks (2021)Forecasting mortality rates using hybrid Lee–Carter model, artificial neural network and random forest (2020)A Neural Approach to Improve the Lee-Carter Mortality Density Forecasts (2022)Efficient use of data for LSTM mortality forecasting (2022)Modelling and management of mortality risk: a review (2008)On Stochastic Mortality Modeling (2009)Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models (2012)
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References

  • 1992Modeling and Forecasting U. S. Mortality2,347 cited
  • 2006A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration891 cited
  • 2011Mortality density forecasts: An analysis of six stochastic mortality models298 cited
  • 2019A neural network extension of the Lee–Carter model to multiple populations131 cited
  • 2018A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST110 cited
  • 2017Machine learning techniques for mortality modeling72 cited
  • 2018Neural Network Embedding of the Over-Dispersed Poisson Reserving Model68 cited
  • 2019Application of Machine Learning to Mortality Modeling and Forecasting61 cited

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