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Predicting Human Mortality: Quantitative Evaluation of Four Stochastic Models
Risks, 2016 In this paper, we quantitatively compare the forecasts from four different mortality models. We consider one discrete-time model proposed by Lee and Carter (1992) and three continuous-time models: the Wills and Sherris (2011) model, the Feller process ...
Anastasia Novokreshchenova
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Prediction of life expectancy using the Lee-Carter model [PDF]
, 2013 The ageing of the population is a problem of many European countries including the Czech Republic. This problem is related to two main factors, the increase of life expectancy and the decline of birth rate.
Jindrová, Pavla, Slavíček, Ondřej
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Mortality modelling with arrival of additional year of mortality data: Calibration and forecasting [PDF]
Demographic ResearchBACKGROUND: For commonly used mortality models, the existing estimates change with the recalibration of new data. This issue is also known as the lack of the new-data-invariant property.
Kenny Kam Kuen Mok +3 more
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Risks, 2022 The Lee–Carter model, the dominant mortality projection modeling in the literature, was criticized for its homoscedastic error assumption. This was corrected in extensions to the model based on the assumption that the number of deaths follows Poisson or ...
Yaser Awad, Shaul K. Bar-Lev, Udi Makov
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Fannie Lee Carter Papers - Accession 292 [PDF]
, 1980 Fannie Lee Carter (1903-1988) was a 1923 graduate of Winthrop College and a teacher in Rocky Mount, North Carolina. The Fannie Lee Carter papers consist of correspondence, including three letters from a Confederate soldier discussing war conditions and ...
Carter, Fannie Lee
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PEMBUATAN TABEL MORTALIA MELALUI MODEL LEE CARTER
Jurnal LebesgueThe Lee-Carter model, proposed in 1992, is one of the most well-known methodologies for modeling mortality rates. This model is known for its simplicity and has been used successfully in America, Japan, and Australia. Basically, the Lee-Carter model is a
Taofik Hidayat
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Application of Machine Learning to Mortality Modeling and Forecasting
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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Dorothy Lee Carter-Seales [PDF]
, 2014 Ratibu Jacocks interviewed Dorothy Lee Carter-Seales, a cousin of his wife Wilmer Amina Carter. Carter-Seales briefly described her family background as well as her time in school.
Wilmer Amina Carter Foundation
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Advanced Energy Materials, EarlyView.This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 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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