APS
2025 APS Annual Convention
Machine Learning Approaches for Modeling Intensive Longitudinal Data
As a discipline psychology has long wrestled with the promise of big data for a precise accounting of human behavior and mental life. In this symposium we will discuss recent work to address these challenges by combining ideas from traditional dynamic modeling with techniques from machine learning and computational statistics.
Chairs & Discussants
- Zachary FisherChair
Pennsylvania State University, University Park