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Mortality forecasting: Neural network approach

2020 13th International Conference "Management of large-scale system development" (MLSD), 2020
Application 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
openaire   +1 more source

Smoothing and forecasting mortality rates

Statistical Modelling, 2004
The 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
openaire   +1 more source

Statistical methods for forecasting mortality

2012
Thesis - Athens University of Economics and Business.
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Stochastic Forecast of Mortality Effects

SSRN Electronic Journal, 2011
In 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.
openaire   +1 more source

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

Ca-A Cancer Journal for Clinicians, 2021
Hyuna Sung   +2 more
exaly  

Mortality Change and Forecasting

North American Actuarial Journal, 1998
Shripad Tuljapurkar, Carl Boe
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Forecasting Mortality Change

North American Actuarial Journal, 1998
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Cancer statistics for African American/Black People 2022

Ca-A Cancer Journal for Clinicians, 2022
Angela Giaquinto   +2 more
exaly  

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