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：
2002-09-01
影响因子：
7
通讯作者：
King, K
中科院分区：
文献类型：
--
作者：
Boker, SM;Xu, MQ;King, K
交叉相关和大多数其他纵向分析都假定两个变量之间的关联是稳定的。因此，无论样本中的发作时间或次数如何，测量事件的样本都应该代表变量之间的关联。当平稳性假设可能不成立时，作者提出了一种分析两个变量之间相关性的方法。对于从实验开始的经过时间的起始值范围，该方法导致对峰值关联的强度和当峰值关联发生时的时间标签进行估计。
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 tag when the peak association occurred for a range of starting values of elapsed time from the beginning of an experiment.