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AI in Actuarial Science · Study

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PreprintAI in Actuarial Science

Ronald Richman2018

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Preprintgreen2018

AI in Actuarial Science

36 citations·0/0 files stored·SSRN Electronic Journal

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Insurance, Mortality, Demography, Risk Management Insurance and Financial Risk Management Probability and Risk Models

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 2010To Explain or to Predict?1992Modeling and Forecasting U. S. Mortality 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward 2006A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration 2009forecast: Forecasting Functions for Time Series and Linear Models 1993Distribution-free Calculation of the Standard Error of Chain Ladder Reserve Estimates 2010Non-Life Insurance Pricing with Generalized Linear Models

Cited by

2018Neural Network Embedding of the Over-Dispersed Poisson Reserving Model 2019A NEURAL NETWORK BOOSTED DOUBLE OVERDISPERSED POISSON CLAIMS RESERVING MODEL 2021NEIGHBOURING PREDICTION FOR MORTALITY 2021Mind the Gap - Safely Incorporating Deep Learning Models into the Actuarial Toolkit 2024From bias to black boxes: understanding and managing the risks of AI – an actuarial perspective

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2022A Neural Approach to Improve the Lee-Carter Mortality Density Forecastsarticle · 6 shared references 2021Mind the Gap - Safely Incorporating Deep Learning Models into the Actuarial Toolkitarticle · 6 shared references 2017Data Analytics for Non-Life Insurance Pricingpreprint · 5 shared references 2021Recent Challenges in Actuarial Sciencereview · 5 shared references 2022TREE-BASED MACHINE LEARNING METHODS FOR MODELING AND FORECASTING MORTALITYarticle · 5 shared references 2015On the Structure and Classification of Mortality Modelsarticle · 4 shared references

Details

Year2018

Typepreprint

Published2018-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations36

Files0 public / 0

ShelfInsurance, Mortality, Demography, Risk Management

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doi10.2139/ssrn.3218082

openalex_workW2897465214

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2022

Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee–Carter Model