Correlation and variable importance in random forests

Theoretical and empirical analysis of variable importance measures in random forests in the presence of correlated predictors. Studies the bias introduced by correlation on standard importance scores and proposes corrections.

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