Discussion of "Sequential Quasi-Monte Carlo" by Mathieu Gerber and Nicolas Chopin

TL;DR

This paper discusses the potential for reducing variance in quasi-Monte Carlo estimators, aiming to improve their efficiency in applications, as elaborated in the related work by Gerber and Chopin.

Contribution

It explores variance reduction techniques for quasi-Monte Carlo methods, providing insights and potential strategies to enhance estimator performance.

Findings

Variance reduction can significantly improve quasi-Monte Carlo estimators.

Potential methods for variance reduction are discussed and analyzed.

Implications for practical applications are highlighted.

Abstract

A discussion on the possibility of reducing the variance of quasi-Monte Carlo estimators in applications. Further details are provided in the accompanying paper "Variance Reduction for Quasi-Monte Carlo".