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Predicting Human Mortality: Quantitative Evaluation of Four Stochastic Models
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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Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model
Background Mortality forecasting is a critical component in various fields, including public health, insurance, and pension planning, where accurate predictions are essential for informed decision-making.
Samuel Asante Gyamerah +3 more
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Prediction of life expectancy using the Lee-Carter model [PDF]
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]
BACKGROUND: 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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PEMBUATAN TABEL MORTALIA MELALUI MODEL LEE CARTER
The 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
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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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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Mechanical cues, including ECM stiffness, stretch, compression, shear stress, and traction forces, remodel trafficking across the secretory pathway, from the ER and Golgi to endolysosomal compartments and the plasma membrane. The resulting secretome reshapes ECM composition and tissue mechanics, establishing feedback loops that support homeostasis or ...
Domenico Russo +5 more
wiley +1 more source
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions [PDF]
We compare the short- to medium-term accuracy of five variants or extensions of the Lee-Carter method for mortality forecasting. These include the original Lee-Carter, the Lee-Miller and Booth-Maindonald-Smith variants, and the more flexible Hyndman ...
Heather Booth +3 more
core +2 more sources
A Fuzzy-Random Extension of the Lee–Carter Mortality Prediction Model
The Lee–Carter model is a useful dynamic stochastic model to represent the evolution of central mortality rates throughout time. This model only considers the uncertainty about the coefficient related to the mortality trend over time but not to the age ...
Jorge de Andrés-Sánchez +1 more
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