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A SIMPLE BAYESIAN APPROACH TO TREE-RING DATING

机译:树木戒指约会的简单贝叶斯方法

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Tree-ring dating involves matching sequences of ring widths from undated timbers to dated sequences known as 'master' chronologies. Conventionally, the undated timbers (from a building or woodland) are sequentially matched against one another, using t-tests to identify the relative offsets with the 'best' match, thus producing a 'site' chronology. A date estimate is obtained when this is matched to a local master chronology of known calendar age. Many tree-ring sequences in the UK produce rather low t-values and are thus declared not to have a 'best' match to a master chronology. Motivated by this and the routine use of Bayesian statistical methods to provide a probabilistic approach to radiocarbon dating, this paper investigates the practicality of Bayesian dendrochronology. We explore a previously published model for the relationship between ring widths and the underlying climatic signal, implementing it within the Bayesian framework via a simulation-based approach. Probabilities for a match at each offset are produced, removing the need to identify a single 'best' match. The Bayesian model proves successful at matching in both simulated and real examples.
机译:树木约会涉及从未结清的木材匹配的环宽度序列,以称为“硕士”时间表的日期序列。传统上,未消耗的木材(来自建筑物或林地)彼此顺序相匹配,使用T检验来识别具有“最佳”匹配的相对偏移,从而产生“现场”年代学。当这与已知日历年龄的局部总比表匹配时获得了日期估计。英国的许多树环序列产生了相当低的T值,因此宣称不与主时间年表具有“最佳”匹配。这方面的激励和常规使用贝叶斯统计方法为RadioCarbon约会提供概率主义方法,本文研究了贝叶斯树枝状学的实用性。我们探索了以前发表了一个用于环形宽度与基础气候信号之间的关系的模型,通过基于模拟的方法在贝叶斯框架内实现它。产生每个偏移时匹配的概率,从而删除识别单个“最佳”匹配的需要。贝叶斯模型在模拟和实际示例中证明成功匹配。

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