Posts tagged hierarchical
Longitudinal Models of Change
- 26 April 2023
The study of change involves simultaneously analysing the individual trajectories of change and abstracting over the set of individuals studied to extract broader insight about the nature of the change in question. As such it’s easy to lose sight of the forest for the focus on the trees. In this example we’ll demonstrate some of the subtleties of using hierarchical bayesian models to study the change within a population of individuals - moving from the within individual view to the between/cross individuals perspective.
Bayesian Missing Data Imputation
- 26 February 2023
Duplicate implicit target name: “bayesian missing data imputation”.