文章基本信息

标题：Analysis of spike train data: A multivariate mixed effects model for phase and amplitude
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作者：Pantelis Z. Hadjipantelis ; John A. D. Aston ; Hans-Georg Müller 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2014
卷号：8
期号：2
页码：1797-1807
DOI：10.1214/14-EJS865E
语种：English
出版社：Institute of Mathematical Statistics
摘要：This discussion of the spike train data applies the approach of Hadjipantelis et al. developed for Linguistic data to jointly model both the phase and amplitude functions via a mixed effects model. The approach shows that care needs to be taken when assessing amplitude and phase functions, particularly if separate analysis is undertaken, as there can be high levels of correlation between the warping and amplitude component functions.