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AI in Actuarial Science
16 references·6 citing·37 second hop
AI in Actuarial Science (2018)AI in Actuarial ScienceStatistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Statistical and Machine Learn…Machine learning in individual claims reserving (2018)Machine learning in individua…A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST (2018)A NEURAL-NETWORK ANALYZER FOR…Machine learning techniques for mortality modeling (2017)Machine learning techniques f…Autoencoder Regularized Network For Driving Style Representation Learning (2017)Autoencoder Regularized Netwo…Valuation of large variable annuity portfolios under nested simulation: A functional data approach (2015)Valuation of large variable a…StMoMo : An R Package for Stochastic Mortality Modeling (2015)StMoMo : An R Package for Sto…On fitting generalized linear and non-linear models of mortality (2014)On fitting generalized linear…To Explain or to Predict? 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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2010To Explain or to Predict?2,974 cited
  • 1992Modeling and Forecasting U. S. Mortality2,311 cited
  • 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward1,515 cited
  • 2006A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration891 cited
  • 2009forecast: Forecasting Functions for Time Series and Linear Models791 cited
  • 1993Distribution-free Calculation of the Standard Error of Chain Ladder Reserve Estimates551 cited
  • 2010Non-Life Insurance Pricing with Generalized Linear Models260 cited
  • 2015StMoMo : An R Package for Stochastic Mortality Modeling213 cited
  • 1998A Stochastic Model Underlying the Chain-Ladder Technique177 cited
  • 2014On fitting generalized linear and non-linear models of mortality118 cited
  • 2018A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST110 cited
  • 2018Machine learning in individual claims reserving102 cited
  • 2017Autoencoder Regularized Network For Driving Style Representation Learning73 cited
  • 2017Machine learning techniques for mortality modeling

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72 cited
  • 2015Valuation of large variable annuity portfolios under nested simulation: A functional data approach71 cited
  • Cited by

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    • 2019A NEURAL NETWORK BOOSTED DOUBLE OVERDISPERSED POISSON CLAIMS RESERVING MODEL34 cited
    • 2021NEIGHBOURING PREDICTION FOR MORTALITY32 cited
    • 2021Mind the Gap - Safely Incorporating Deep Learning Models into the Actuarial Toolkit23 cited
    • 2024From bias to black boxes: understanding and managing the risks of AI – an actuarial perspective15 cited
    • 2022Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee–Carter Model11 cited