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.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Mathematik, Informatik und Statistik > Statistik |
| Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
| ISSN: | 0035-9254 |
| Sprache: | Englisch |
| Dokumenten ID: | 66349 |
| Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2019 12:19 |
| Letzte Änderungen: | 04. Nov. 2020 13:47 |
