For nonparametric regression, where the regression function has discontinuity points, the kernel regression estimator and cross-validation are known to be affected by discontinuity.

This paper studies the convergence rate of randomized quasi-Monte Carlo (RQMC) for discontinuous functions, which are often of infinite variation in the sense of Hardy and Krause.