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A multi-dimensional functional principal components analysis of EEG data

Author

Listed:
  • Kyle Hasenstab
  • Aaron Scheffler
  • Donatello Telesca
  • Catherine A. Sugar
  • Shafali Jeste
  • Charlotte DiStefano
  • Damla Şentürk

Abstract

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Suggested Citation

  • Kyle Hasenstab & Aaron Scheffler & Donatello Telesca & Catherine A. Sugar & Shafali Jeste & Charlotte DiStefano & Damla Şentürk, 2017. "A multi-dimensional functional principal components analysis of EEG data," Biometrics, The International Biometric Society, vol. 73(3), pages 999-1009, September.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:3:p:999-1009
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    File URL: http://hdl.handle.net/10.1111/biom.12635
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    References listed on IDEAS

    as
    1. Crainiceanu, Ciprian M. & Staicu, Ana-Maria & Di, Chong-Zhi, 2009. "Generalized Multilevel Functional Regression," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1550-1561.
    2. Morris, Jeffrey S. & Vannucci, Marina & Brown, Philip J. & Carroll, Raymond J., 2003. "Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 573-583, January.
    3. Veerabhadran Baladandayuthapani & Bani K. Mallick & Mee Young Hong & Joanne R. Lupton & Nancy D. Turner & Raymond J. Carroll, 2008. "Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis," Biometrics, The International Biometric Society, vol. 64(1), pages 64-73, March.
    4. Kyle Hasenstab & Catherine A. Sugar & Donatello Telesca & Kevin McEvoy & Shafali Jeste & Damla Şentürk, 2015. "Identifying longitudinal trends within EEG experiments," Biometrics, The International Biometric Society, vol. 71(4), pages 1090-1100, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Adriano Zanin Zambom & Julian A. A. Collazos & Ronaldo Dias, 2019. "Functional data clustering via hypothesis testing k-means," Computational Statistics, Springer, vol. 34(2), pages 527-549, June.
    2. Marc Vidal & Mattia Rosso & Ana M. Aguilera, 2021. "Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
    3. Sudaraka Tholkage & Qi Zheng & Karunarathna B. Kulasekera, 2022. "Conditional Kaplan–Meier Estimator with Functional Covariates for Time-to-Event Data," Stats, MDPI, vol. 5(4), pages 1-17, November.

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