Results 1 to 10 of about 27,586 (129)
Evaluation of Lee–Carter model to breast cancer mortality prediction in China and Pakistan [PDF]
Frontiers in Oncology, 2023 BackgroundPrecise breast cancer–related mortality forecasts are required for public health program and healthcare service planning. A number of stochastic model–based approaches for predicting mortality have been developed.
Sumaira Mubarik +4 more
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A Deep Learning Integrated Lee–Carter Model [PDF]
Risks, 2019 In the field of mortality, the Lee–Carter based approach can be considered the milestone to forecast mortality rates among stochastic models. We could define a “Lee–Carter model family” that embraces all developments of this model,
Andrea Nigri +4 more
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Application of Machine Learning to Mortality Modeling and Forecasting [PDF]
Risks, 2019 Estimation of future mortality rates still plays a central role among life insurers in pricing their products and managing longevity risk. In the literature on mortality modeling, a wide number of stochastic models have been proposed, most of them ...
Susanna Levantesi, Virginia Pizzorusso
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Forecasting life expectancy in São Paulo City, Brazil, amidst the COVID-19 pandemic [PDF]
Population Health MetricsBackground The COVID-19 pandemic has significantly increased mortality rates, disrupting historical trends and making it challenging to forecast future life expectancy levels. São Paulo, the first city in Brazil to report a COVID-19 case and death, saw a
Maria L. Miranda +2 more
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The Usage of State Space Models in Mortality Modeling and Predictions [PDF]
Statistika: Statistics and Economy Journal, 2023 In demography, mortality modeling with respect to age and time dimensions is often associated with the traditionally used Lee-Carter model. The Lee-Carter model considers a constant set of parameters of agespecific mortality change for forecasts, which ...
Martin Matějka, Ivana Malá
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LEE-CARTER MODELING FOR MORTALITY IN INDONESIA WITH A BAYESIAN APPROACH
Barekeng, 2022 This study aims to model Lee-Carter mortality with a Bayesian approach, where the parameters in the model are assumed to be random variables. The data used in this study is data on mortality rates by age group from the period 1950–2015.
Muhammad Fajar, Eko Fajariyanto
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Risks, 2023 Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models—in terms, that is,
Miguel Santolino
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Big Data and Cognitive Computing, 2022 The Lee–Carter model could be considered as one of the most important mortality prediction models among stochastic models in the field of mortality.
Yuan Chen, Abdul Q. M. Khaliq
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Risks, 2022 The prediction of future mortality improvements is of substantial importance for areas such as population projection, government welfare policies, pension planning and annuity pricing.
Sixian Tang, Jackie Li, Leonie Tickle
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Longevity risk—Its financial impact on pensions
Scientific African, 2022 We study the financial impact of longevity risk on defined benefit (DB) pension plan liabilities using the 2010 Ghana population census, and the Lee-Carter model. We compare the usual Lee-Carter model to an extended version. While we observe that Ghana’s
Nana Poku Appiagyei Nantwi +2 more
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