Survival energy models for mortality prediction and future prospects

Article Properties
Abstract
Cite
Shimizu, Yasutaka, et al. “Survival Energy Models for Mortality Prediction and Future Prospects”. ASTIN Bulletin, vol. 53, no. 2, 2023, pp. 377-91, https://doi.org/10.1017/asb.2023.10.
Shimizu, Y., Shirai, K., Kojima, Y., Mitsuda, D., & Inoue, M. (2023). Survival energy models for mortality prediction and future prospects. ASTIN Bulletin, 53(2), 377-391. https://doi.org/10.1017/asb.2023.10
Shimizu, Yasutaka, Kana Shirai, Yuta Kojima, Daiki Mitsuda, and Mahiro Inoue. “Survival Energy Models for Mortality Prediction and Future Prospects”. ASTIN Bulletin 53, no. 2 (2023): 377-91. https://doi.org/10.1017/asb.2023.10.
1.
Shimizu Y, Shirai K, Kojima Y, Mitsuda D, Inoue M. Survival energy models for mortality prediction and future prospects. ASTIN Bulletin. 2023;53(2):377-91.
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Mathematics
Science
Mathematics
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Mathematical statistics
Social Sciences
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Refrences
Title Journal Journal Categories Citations Publication Date
Mixed hitting-time models Econometrica
  • 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
 2012
Cohort-wise mortality prediction under the survival energy hypothesis (in Japanese) 2019
Modeling and forecasting the time series of US mortality Journal of the American Statistical Association
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1992
On the pricing of corporate debt: The risk structure of interest rates Journal of Finance 1974
Lévy Processes in Credit Risk 2009
Citations
Title Journal Journal Categories Citations Publication Date
Mortality prediction using survival energy models with functional data analysis

 Japanese Journal of Statistics and Data Science
  • Science: Mathematics: Probabilities. Mathematical statistics
 2024
Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics1
The category Science: Mathematics: Probabilities. Mathematical statistics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Mortality prediction using survival energy models with functional data analysis and was published in 2024. The most recent citation comes from a 2024 study titled Mortality prediction using survival energy models with functional data analysis. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the Japanese Journal of Statistics and Data Science cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year