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論文資訊
- 類型：已發表論文
- 日期：2021-09-15
摘要
Archaeologists and demographers increasingly employ aggregations of published radiocarbon (C-14) dates as demographic proxies summarizing changes in human activity in past societies. Presently, summed probability densities (SPDs) of calibrated radiocarbon dates are the dominant method of using C-14 dates to reconstruct demographic trends. Unfortunately, SPDs are incapable of converging on the distribution that generated a set of radiocarbon measurements, even when the number of observations is large. To overcome this problem, we propose a more principled alternative that combines finite mixture models and end-to-end 貝氏 inference. Numerical simulations and an assessment of the 統計 identifiability of our method demonstrate that it correctly converges on the generating distribution for two imp
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