Results 11 to 20 of about 1,876,599 (295)
Old and New Perspectives on Mortality Forecasting [PDF]
, 2019 This open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide
Bengtsson, Tommy.editor.edthttp://id.loc.gov/vocabulary/relators/edt +7 more
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ARMA Models for Mortality Forecast
Lithuanian Journal of Statistics, 2016 In the last several decades, many countries have been paying a lot of attention to mortality forecastingbecause of high longevity risk. The purpose of this paper is to analyze mortality characteristics of Baltic countries andmake predictions using ARMA ...
Natalja Šiškina, Jonas Šiaulys
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Smoothing, Decomposing and Forecasting Mortality Rates
European Journal of Population, 2021 The Lee-Carter (LC) model represents a landmark paper in mortality forecasting. While having been widely accepted and adopted, the model has some limitations that hinder its performance. Some variants of the model have been proposed to deal with these drawbacks individually, none coped with them all at the same time.
Carlo G. Camarda, Ugofilippo Basellini
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Smooth constrained mortality forecasting
Demographic Research, 2019 Background: Mortality can be forecast by means of parametric models, principal component methods, and smoothing approaches. These methods either impose rigid modeling structures or produce implausible outcomes.
Carlo Giovanni Camarda
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Mortality neural forecasting [PDF]
, 2021 Predicting mortality is a major challenge for both demographers and actuaries. The latter need to anticipate various future mortality scenarios with the greatest possible accuracy, as in the case of annuities pricing and longevity risk assessments. However, the current wide range of stochastic mortality models highlights some deficiencies in predicting
MARINO, MARIO
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Identification and Forecasting in Mortality Models [PDF]
The Scientific World Journal, 2014 Mortality models often have inbuilt identification issues challenging the statistician. The statistician can choose to work with well-defined freely varying parameters, derived as maximal invariants in this paper, or with ad hoc identified parameters ...
Bent Nielsen, Jens P. Nielsen
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Forecasting Neonatal Mortality in Portugal
Engineering Proceedings, 2023 In order to achieve a more efficient allocation of healthcare resources in the near future, it is crucial to understand the patterns and causes of excess mortality and hospitalizations. Neonatal mortality still poses a significant challenge, particularly
Rodrigo B. Ventura +7 more
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Markov-Switching Bayesian Vector Autoregression Model in Mortality Forecasting
Risks, 2023 We apply a Markov-switching Bayesian vector autoregression (MSBVAR) model to mortality forecasting. MSBVAR has not previously been applied in this context, and our results show that it is a promising tool for mortality forecasting. Our model shows better
Wanying Fu +3 more
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Mortality and life expectancy forecast for (comparatively) high mortality countries [PDF]
Genus, 2018 Background The Lee–Carter method and its later variants are widely accepted extrapolative methods for forecasting mortality and life expectancy in industrial countries due to their simplicity and availability of high quality long time series data ...
Ahbab Mohammad Fazle Rabbi +1 more
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Stochastic mortality forecasts for Bangladesh
PLOS ONE, 2022 Mortality forecasts are essential part for policymaking in any aging society. In recent years, methods to model and forecast mortality have improved considerably. Among them, Lee-Carter method is one of the most influential method. In this paper, Lee-Carter method is applied to forecast mortality and life expectancy of Bangladesh.
Ahbab Mohammad Fazle Rabbi +1 more
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