Randomized quasi-Monte Carlo methods in global sensitivity analysis

Abstract Randomized quasi-Monte Carlo methods have enjoyed increasing popularity in applications due to their faster convergence rate than Monte Carlo, and the existence of simple statistical tools to analyze the error of their estimates similar to Monte Carlo. In this paper we give a survey of randomized quasi-Monte Carlo methods, transformation methods for low-discrepancy sequences, and provide some examples.