Grouped variable importance with random forests and application to multivariate functional data analysis

Extension of variable importance measures to grouped variables in random forests. Application to multivariate functional data from flight data recorders, where variables are naturally grouped by physical sensor type. Enables identification of the most relevant sensor groups for a given prediction task.

Core research from my PhD at Université Pierre et Marie Curie.