Validating Symbolic Regression to Model Idiographic Symptom Dynamics

Washington, DC · May 2025

Poster · Methodology

Rocci Vizzusi
California State University, Chico

Abstract

This proposal seeks to validate the Sparse Identification of Nonlinear Dynamics (SINDy) algorithm for modeling psychological time-series data. Study 1 tests SINDy’s ability to recover differential equations from formal theories of psychopathology, while Study 2 applies SINDy to real-world experience sampling data to uncover personalized computational models of symptom dynamics.

Psychopathology

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Validating Symbolic Regression to Model Idiographic Symptom Dynamics

Abstract

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