How does Random Forest interact with empirical process theory?

Random Forest can be analyzed as an empirical process over randomized function classes.

Each tree is a function drawn from a stochastic function class induced by bootstrap sampling. The RF estimator is an empirical average over this class. Empirical process theory studies convergence of such averages to expected functionals, providing theoretical guarantees for consistency and generalization bounds.