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

David Rügamer, Sarah Brockhaus, Kornelia Gentsch, Klaus Scherer and Sonja Greven

Journal of the Royal Statistical Society Series C, 2018, vol. 67, issue 3, 621-642

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.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1111/rssc.12241

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:67:y:2018:i:3:p:621-642

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().