Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series.
Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series.
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DOI：
10.1037/1082-989x.7.3.338
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发表时间：
2002-09
影响因子：
7
通讯作者：
S. Boker;Minquan Xu;Jennifer L. Rotondo;Kadijah King
中科院分区：
文献类型：
--
作者：
S. Boker;Minquan Xu;Jennifer L. Rotondo;Kadijah King
交叉相关和大多数其他纵向分析假设2个变量之间的关联是固定的。因此，预期测量时机的样本代表变量之间的关联，而不管样本中的发作时间或时机数量。作者提出了一种方法来分析2个变量之间的关联时，平稳性的假设可能是不必要的。该方法的结果在估计的峰值关联的强度和时间滞后时，峰值关联发生的范围内的起始值从实验的开始经过的时间。
Cross-correlation and most other longitudinal analyses assume that the association between 2 variables is stationary. Thus, a sample of occasions of measurement is expected to be representative of the association between variables regardless of the time of onset or number of occasions in the sample. The authors propose a method to analyze the association between 2 variables when the assumption of stationarity may not be warranted. The method results in estimates of both the strength of peak association and the time lag when the peak association occurred for a range of starting values of elapsed time from the beginning of an experiment.