Meng, YechaoDiao, LiqunWeng, Chengguo2025-09-042025-09-042025https://doi.org/10.1080/03461238.2025.2537925https://hdl.handle.net/10012/22342This is an Accepted Manuscript of an article published by Taylor & Francis in Scandinavian Actuarial Journal on August 5, 2025, available online: https://doi.org/10.1080/03461238.2025.2537925.A novel mortality prediction framework, age-specific band selection, is proposed to borrow information from "neighboring" ages and train prediction models tailored for each individual age in a mortality table. This framework is further extended to borrow information across multiple populations through two proposed approaches: a distance-based approach and an ACF model-based approach. Extensive empirical studies with the Human Mortality Database are conducted to illustrate the enhanced prediction accuracy achieved by these methods.enmortality predictionhuman mortality databaseage-specific band selectionclusteringK-nearest neighborArticle