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Boosting factor‐specific functional historical models for the detection of synchronization in bioelectrical signals

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  • David Rügamer
  • Sarah Brockhaus
  • Kornelia Gentsch
  • Klaus Scherer
  • Sonja Greven

Abstract

The link between different psychophysiological measures during emotion episodes is not well understood. To analyse the functional relationship between electroencephalography and facial electromyography, we apply historical function‐on‐function regression models to electroencephalography and electromyography data that were simultaneously recorded from 24 participants while they were playing a computerized gambling task. Given the complexity of the data structure for this application, we extend simple functional historical models to models including random historical effects, factor‐specific historical effects and factor‐specific random historical effects. Estimation is conducted by a componentwise gradient boosting algorithm, which scales well to large data sets and complex models.

Suggested Citation

  • David Rügamer & Sarah Brockhaus & Kornelia Gentsch & Klaus Scherer & Sonja Greven, 2018. "Boosting factor‐specific functional historical models for the detection of synchronization in bioelectrical signals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 621-642, April.
    • Handle: RePEc:bla:jorssc:v:67:y:2018:i:3:p:621-642
    DOI: 10.1111/rssc.12241
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    Cited by:

    1. Sonja Greven & Fabian Scheipl, 2020. "Comments on: Inference and computation with Generalized Additive Models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 343-350, June.

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