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文章基本信息

  • 标题:Analysis of spike train data: A multivariate mixed effects model for phase and amplitude
  • 本地全文:下载
  • 作者:Pantelis Z. Hadjipantelis ; John A. D. Aston ; Hans-Georg Müller
  • 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.
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