Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data
The experience sampling method (ESM) is a longitudinal research design where participants report their thoughts, emotional states and behaviours multiple times a day. Our work is motivated by such data collected by the GrowIt! app, which was released to investigate daily emotions among adolescents during the COVID-19 pandemic. Current procedures to analyse ESM data face various challenges. While standard statistical techniques may not scale well to a high-dimensional setting, machine learning procedures can give biased results due to selection bias introduced by missingness. In our motivating dataset, adolescents dropped out due to previous strong feelings of negative emotions. Hence, the...
| Authors | Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers et al. |
|---|---|
| Primary category | stat.ML |
| Published | 6 August 2026 |
| Last updated at source | 7 August 2026 |
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