Thursday 17 October 2019:
Using non-linear techniques to analyze time series of cortisol
The HPA axis is a dynamic system that shows complex non-linear relationships over time. When statistical models are applied to study such complex dynamical systems, using time-series data, the values of the models’ parameters become dependent on the state of the system. Accounting for such state dependency in a model poses extra demands on the applied analysis techniques. In those cases, nonlinear techniques may be more suitable than regular linear techniques such as vector auto regression (VAR). In this iLab meeting a study was presented in which cortisol time-series data, that was obtained from the MOOVD study, is analyzed with embedding-based nonlinear techniques.
Click here for the video of the presentation. Only accessible for persons with access to iLab’s google drive. Others who are interested in the video can send an e-mail to firstname.lastname@example.org