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20222026
most citedStar discrepancy for new stratified random sampling I: optimal expected star discrepancy

1 citations · 1 across the 10 of their papers we have counts for

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math.ST2026

Sharp Non-Asymptotic Bounds for the Star Discrepancy of Double-Infinite Random Matrices via Optimal Covering Numbers

Xiaoda Xu, Jun Xian

We establish sharp non-asymptotic probabilistic bounds for the star discrepancy of double-infinite random matrices -- a canonical model for sequences of random point sets in high d…

math.ST2026

Expected star discrepancy based on stratified sampling

Xiaoda Xu, Jun Xian

We present two main contributions to the expected star discrepancy theory. First, we derive a sharper expected upper bound for jittered sampling, improving the leading constants an…

math.ST2023

Star discrepancy bounds based on Hilbert space filling curve stratified sampling and its applications

Jun Xian, Xiaoda Xu

In this paper, we consider the upper bound of the probabilistic star discrepancy based on Hilbert space filling curve sampling. This problem originates from the multivariate integr…

math.ST2022

Expected discrepancy bound for a class of new stratified sampling models

Jun Xian, Xiaoda Xu

We introduce a class of convex equivolume partitions. Expected discrepancy are discussed under these partitions. There are two main results. First, under this kind of partiti…

math.ST2022★ 1 cited

Star discrepancy for new stratified random sampling I: optimal expected star discrepancy

Jun Xian, Xiaoda Xu, Xinkai Zhou

We introduce a class of convex equivolume partitions. Expected star discrepancy results are compared for stratified samples under these partitions, including simple random samples.…