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Evaluation of the Bayesian method to derive migration patterns from changes in surname distributions over time

机译:贝叶斯方法的评估,以从姓氏分布随时间的变化得出迁移模式

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摘要

Known migration in The Netherlands between the periods 1950-1969 and 2007, for 4.5 million individuals, was used to estimate the origin of migration by means of a Bayesian method on the basis of surname distributions in these two periods. Results of the method depend on the geographic specificity of the surnames and tend to be positioned between population density and actual probability of migration origin. An optimum in the correlation between estimated and actual percentages of origin of migration, and their differentiation as expressed by the correlation between the estimated and actual entropy across 40 distinguished areas, was found after a few iterations. The optimal correlation was 0.806 (Spearman), which shows that the Bayesian method provides a reasonable proxy of the rank order of a migrant's origin.
机译:1950-1969年至2007年期间,荷兰有450万人的已知移民,通过贝叶斯方法,根据这两个时期的姓氏分布,估计了移民的起源。该方法的结果取决于姓氏的地理特征,并且往往位于人口密度和实际移民起源概率之间。经过几次迭代后,发现了迁移原点的估计百分比与实际百分比之间的相关性最佳,以及通过40个不同区域的估计熵与实际熵之间的相关性表示的差异。最佳相关系数为0.806(Spearman),这表明贝叶斯方法为移民原籍的等级顺序提供了合理的代理。

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