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Mortality forecasting: Neural network approach
2020 13th International Conference "Management of large-scale system development" (MLSD), 2020Application of an artificial neural network (NN) for predicting human mortality and life expectancy has been studied. Obtained NN reflects current demographic theories, according to which mortality trends in countries with high life expectancy converge to a common trend, and the difference in the life expectancy of men and women is decreasing.
Vasily Gorlishchev, Anatoly Michalsky
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Smoothing and forecasting mortality rates
Statistical Modelling, 2004The prediction of future mortality rates is a problem of fundamental importance for the insurance and pensions industry. We show how the method of P-splines can be extended to the smoothing and forecasting of two-dimensional mortality tables. We use a penalized generalized linear model with Poisson errors and show how to construct regression and ...
Currie, Iain D. +2 more
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Statistical methods for forecasting mortality
2012Thesis - Athens University of Economics and Business.
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Stochastic Forecast of Mortality Effects
SSRN Electronic Journal, 2011In this study we propose a stochastic mortality forecast model that may be viewed as a Levy process. First, age, period and cohort effects are objectively identified in a given matrix of historic mortality data. Next, these patterns are removed from the matrix of mortality improvement rates.
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Mortality Change and Forecasting
North American Actuarial Journal, 1998Shripad Tuljapurkar, Carl Boe
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Cancer statistics for African American/Black People 2022
Ca-A Cancer Journal for Clinicians, 2022Angela Giaquinto +2 more
exaly

