Functional central limit theorems for $U$-statistics of beta-mixing data

Abstract

We investigate the convergence of partial sum processes based on a strictly stationary ${\hat{I}}^2$-mixing sequence of random variables. The convergence in the space of continuous function as well as in H{ö}lder spaces is considered. The conditions are close to optimality.