Bayesian approaches to the building of archaeological chronologies
Bayesian approaches to the building of archaeological chronologies
复制标题
建立考古年表的贝叶斯方法
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Christopher Bronk
中科院分区：
文献类型：
--
作者：
Christopher Bronk
贝叶斯统计提供了一种方法来结合来自不同来源的信息，假设这些信息可以客观地量化。关键的是，数学方法也很适合于具有非正态概率分布的参数。在考古和相关的环境背景下，通常有广泛的与年表有关的信息；这包括地层资料、沉积过程资料和其他限制因素，这些资料可以相对于日历时间的流逝加以应用。此外，考古学中最广泛使用的测年技术之一，放射性碳测年，需要一个校准过程，不可避免地导致非正态概率分布。贝叶斯统计提供了一种理想的方法来结合这些不同来源的信息，并在提高考古年表的精确度和准确性方面取得了很大的成功。在环境科学中也是如此，一些最初应用于考古学的方法现在正在其他学科中得到应用。
Bayesian statistics provide a methodology for combining information from diverse sources, assuming that such information can be objectively quantified. Critically, the mathematical methods are also well suited to parameters that have non-normal probability distributions. In archaeological and related environmental contexts, there is usually a wide range of information that has bearing on chronology; this includes stratigraphic information, information on deposition processes and other constraints, which can be applied relative to the passage of calendar time. In addition, one of the most widely used dating techniques in archaeology, radiocarbon dating, requires a calibration process that inevitably leads to non-normal probability distributions. Bayesian statistics provide the ideal way to combine the information from these different sources and has been highly successful in improving the precision and accuracy of archaeological chronologies. The same is increasingly true in environmental science, where some of the methods first applied in archaeology are now finding application in different disciplines.