A General Procedure for Constructing Mortality Models

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Cite
Hunt, Andrew, and David Blake. “A General Procedure for Constructing Mortality Models”. North American Actuarial Journal, vol. 18, no. 1, 2014, pp. 116-38, https://doi.org/10.1080/10920277.2013.852963.
Hunt, A., & Blake, D. (2014). A General Procedure for Constructing Mortality Models. North American Actuarial Journal, 18(1), 116-138. https://doi.org/10.1080/10920277.2013.852963
Hunt, Andrew, and David Blake. “A General Procedure for Constructing Mortality Models”. North American Actuarial Journal 18, no. 1 (2014): 116-38. https://doi.org/10.1080/10920277.2013.852963.
Hunt A, Blake D. A General Procedure for Constructing Mortality Models. North American Actuarial Journal. 2014;18(1):116-38.
Journal Category
Social Sciences
Finance
Refrences
Title Journal Journal Categories Citations Publication Date
10.4054/DemRes.2012.26.9 2012
10.1111/j.1467-985X.2010.00687.x 2011
A user-friendly approach to stochastic mortality modelling European Actuarial Journal
  • Social Sciences: Finance
  • Science: Mathematics: Probabilities. Mathematical statistics
16 2011
Facing up to uncertain life expectancy: The longevity fan charts

Demography
  • Social Sciences: Sociology (General)
  • Social Sciences: Economic theory. Demography
  • Social Sciences
38 2010
10.1017/S1357321700005559 2009
Refrences Analysis
The category Social Sciences: Economic theory. Demography: Economics as a science 25 is the most frequently represented among the references in this article. It primarily includes studies from Insurance: Mathematics and Economics The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Expressive mortality models through Gaussian process kernels

ASTIN Bulletin
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
2024
A Bayesian Model for Age at Death with Cohort Effects SSRN Electronic Journal 2024
Should Selection of the Optimum Stochastic Mortality Model Be Based on the Original or the Logarithmic Scale of the Mortality Rate?

Risks
  • Social Sciences: Finance: Insurance
  • Social Sciences: Finance
2023
Backtesting stochastic mortality models by prediction interval-based metrics

Quality & Quantity 2 2022
A Neural Approach to Improve the Lee-Carter Mortality Density Forecasts North American Actuarial Journal
  • Social Sciences: Finance
11 2022
Citations Analysis
The category Science: Mathematics 29 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Longevity Risk and Capital Markets: The 2013-14 Update and was published in 2015. The most recent citation comes from a 2024 study titled A Bayesian Model for Age at Death with Cohort Effects. This article reached its peak citation in 2020, with 13 citations. It has been cited in 19 different journals, 26% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 12 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year