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Stochastic mortality forecasts for Bangladesh. [PDF]
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.
Fazle Rabbi AM, Khan HTA.
europepmc +3 more sources
Stochastic Mortality Modelling for Dependent Coupled Lives [PDF]
Risks, 2020 Broken-heart syndrome is the most common form of short-term dependence, inducing a temporary increase in an individual’s force of mortality upon the occurrence of extreme events, such as the loss of a spouse. Socioeconomic influences on bereavement
Kira Henshaw +2 more
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StMoMo: An R Package for Stochastic Mortality Modeling [PDF]
Journal of Statistical Software, 2018 In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date ...
Andrés M. Villegas +2 more
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Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics [PDF]
Scientific ReportsThe hepatitis C virus (HCV) is recognized as a significant global public health concern due to its complex transmission dynamics and long-term health consequences.
Nikhil Kumar +3 more
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Generalization of stochastic mortality models to improve mortality prediction in life insurance and pension funds [PDF]
تصمیم گیری و تحقیق در عملیات, 2023 Purpose: Mortality is a dynamic process that completes over time and is a fundamental issue in life insurance, pension fund, health insurance, and in general any issue related to financial planning that deals with the longevity of individuals. Therefore,
Shirin Shoaee +1 more
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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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Modelling Stochastic Bivariate Mortality [PDF]
SSRN Electronic Journal, 2006 Stochastic mortality, i.e. modelling death arrival via a jump process with stochastic intensity, is gaining increasing reputation as a way to represent mortality risk. This paper represents a first attempt to model the mortality risk of couples of individuals, according to the stochastic intensity approach.\ud \ud On the theoretical side, we extend to ...
Luciano, E., Spreeuw, J., Vigna, E.
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Stochastic Mortality Models and Pandemic Shocks [PDF]
, 2021 AbstractAfter decades of worldwide steady improvements in life expectancy, the COVID-19 pandemic produced a shock that had an extraordinary immediate impact on mortality rates globally. This shock had largely heterogeneous effects across cohorts, socio-economic groups, and nations.
Regis, Luca, Jevtić, Petar
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A Square-Root Factor-Based Multi-Population Extension of the Mortality Laws
Mathematics, 2021 In this paper, we present and calibrate a multi-population stochastic mortality model based on latent square-root affine factors of the Cox-Ingersoll and Ross type.
Petar Jevtić, Luca Regis
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Mathematics, 2023 In recent times, there has been a notable global phenomenon characterized by a double predicament arising from the concomitant rise in worldwide life expectancy and a significant decrease in birth rates.
Daniel dos Santos Baptista +1 more
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