The link between different psychophysiological measures during emotion
episodes is not well understood. To analyse the functional relationship between
electroencephalography (EEG) and facial electromyography (EMG), we apply
historical function-on-function regression models to EEG and EMG data that were
simultaneously recorded from 24 participants while they were playing a
computerised 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
component-wise gradient boosting algorithm, which scales well to large data
sets and complex models.

研究了情感过程中不同心理生理学指标之间的联系，通过历史作用回归模型分析同时记录 24 位参与者在计算机化赌博任务中的 EEG 和 EMG 数据的函数关系，并扩展了包括随机历史效应、因素特定的历史效应和因素特定的随机历史效应的模型。使用分量回归梯度提升算法进行估计。