Results 1 to 10 of about 366,784 (185)

Modelling stochastic bivariate mortality [PDF]

open access: yesSSRN 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.
A J G Cairns   +36 more
core   +4 more sources

Analyzing Temperature Effects on Mortality Within the R Environment: The Constrained Segmented Distributed Lag Parameterization [PDF]

open access: yesJournal of Statistical Software, 2010
Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data.
Vito M. R. Muggeo
doaj   +1 more source

Extensions on the Hatzopoulos–Sagianou Multiple-Components Stochastic Mortality Model

open access: yesRisks, 2022
In this paper, we present extensions of the Hatzopoulos–Sagianou (2020) (HS) multiple-component stochastic mortality model. Our aim is to thoroughly evaluate and stress test the HS model by deploying various link functions, using generalised linear ...
Aliki Sagianou, Peter Hatzopoulos
doaj   +1 more source

Nonlinear Modeling of Mortality Data and Its Implications for Longevity Bond Pricing

open access: yesRisks, 2023
Human mortality has been improving faster than expected over the past few decades. This unprecedented improvement has caused significant financial stress to pension plan sponsors and annuity providers. The widely recognized Lee–Carter model often assumes
Huijing Li, Rui Zhou, Min Ji
doaj   +1 more source

Subnational Mortality Modelling: A Bayesian Hierarchical Model with Common Factors

open access: yesRisks, 2021
We propose a new model in a Bayesian hierarchical framework to project mortality at both national and subnational levels based on sparse or missing data.
Qian Lu, Katja Hanewald, Xiaojun Wang
doaj   +1 more source

Hotelling T2 Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision Tree

open access: yesMathematics, 2023
Mortality modelling is a practical method for the government and various fields to obtain a picture of mortality up to a specific age for a particular year.
Suryo Adi Rakhmawan   +3 more
doaj   +1 more source

A Bibliometric Analysis of Research on Stochastic Mortality Modelling and Forecasting

open access: yesRisks, 2022
Mortality improvements and life expectancies have been increasing in recent decades, leading to growing interest in understanding mortality risk and longevity risk. Studies of mortality forecasting are of interest among actuaries and demographers because
Norkhairunnisa Redzwan, Rozita Ramli
doaj   +1 more source

Bayesian Mixture Modelling for Mortality Projection

open access: yesRisks, 2021
Although a large number of mortality projection models have been proposed in the literature, relatively little attention has been paid to a formal assessment of the effect of model uncertainty.
Jackie Li, Atsuyuki Kogure
doaj   +1 more source

Robust Non-Parametric Mortality and Fertility Modelling and Forecasting: Gaussian Process Regression Approaches

open access: yesForecasting, 2021
A rapid decline in mortality and fertility has become major issues in many developed countries over the past few decades. An accurate model for forecasting demographic movements is important for decision making in social welfare policies and resource ...
Ka Kin Lam, Bo Wang
doaj   +1 more source

Modelling USA Age-Cohort Mortality: A Comparison of Multi-Factor Affine Mortality Models

open access: yesRisks, 2022
Affine mortality models are well suited for theoretical and practical application in pricing and risk management of mortality risk. They produce consistent, closed-form stochastic survival curves allowing for the efficient valuation of mortality-linked ...
Zhiping Huang   +3 more
doaj   +1 more source

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