根据贝叶斯人口预测,对2100年人类寿命的概率预测
Michael Pearce1, Adrian Raftery2
1Departments of Statistics, University of Washington, USA.
Demographic research
|October 4, 2024
概括
这项研究预测了人类的寿命,预测到2100年死亡时的最高报告年龄将被超越的可能性很高. 我们估计到达极端年龄的可能性是126或130.
科学领域:
- 老年学和人口统计学
- 统计建模 统计建模
- 生存分析的分析.
背景情况:
- 量化人类寿命和预测死亡时的最高报告年龄 (MRAD) 是一个复杂的统计挑战.
- 了解达到极端年龄的概率对于人口和社会规划至关重要.
- 以前的模型需要更新最新数据和扩展预测窗口.
研究的目的:
- 为了概率地预测到2100年死亡时的最大报告年龄 (MRAD).
- 量化个体达到极端年龄的可能性,例如120岁及以上.
- 通过使用最新数据和先进的统计方法,提供最新的,无条件的MRAD分布估计.
主要方法:
- 利用了对超级百岁老人 (110岁以上) 的更新指数生存模型.
- 纳入贝叶斯人口预测以解释人口不确定性.
- 扩展了预测窗口,并使用最新的长寿国际数据库 (IDL) 数据进行了全面的贝叶斯分析.
主要成果:
- 更新的超百岁的生存模型与最近的IDL数据保持一致.
- 从110-114岁的人口预测到2080年被认为是合理的.
- 通过整合模型和预测不确定性,估计到2100年MRAD的无条件分布.
结论:
- 有超过99%的概率,当前的MRAD122将在2100年被打破.
- 估计到2100年至少达到126,128或130岁的概率分别为89%,44%和13%.
- 本研究提出了第一个完全贝叶斯式的,无条件的概率预测,到2100年对MRAD进行预测.
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