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20192026
most citedForecasting age distribution of death counts: An application to annuity pricing

23 citations · 24 across the 8 of their papers we have counts for

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5 papers · 1 filter

stat.AP2026

Climate sensitivity analysis -- A case study from forty years of US compositional cause of death data

Michelle Dong, Aaron Bruhn, Francis Hui +1

Emerging climate risks pose pressing challenges for insurers, governments, and businesses worldwide, as they face growing uncertainty in quantifying the impacts of climate change f…

stat.AP2025

A Compositional Approach to Modelling Cause-specific Mortality with Zero Counts

Zhe Michelle Dong, Han Lin Shang, Francis Hui +1

Understanding and forecasting mortality by cause is an essential branch of actuarial science, with wide-ranging implications for decision-makers in public policy and industry. To a…

stat.AP2025

Forecasting age distribution of deaths across countries: Life expectancy and annuity valuation

Han Lin Shang, Steven Haberman

In this paper, we provide a comprehensive cross-country validation study of compositional mortality modeling and forecasting methods. Thus, we consider two one-to-one transformatio…

stat.AP2024

Forecasting age distribution of life-table death counts via α-transformation

Han Lin Shang, Steven Haberman

We introduce a compositional power transformation, known as an α-transformation, to model and forecast a time series of life-table death counts, possibly with zero counts observed…

stat.AP2019★ 23 cited

Forecasting age distribution of death counts: An application to annuity pricing

Han Lin Shang, Steven Haberman

We consider a compositional data analysis approach to forecasting the age distribution of death counts. Using the age-specific period life-table death counts in Australia obtained…