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Accuracy of Uniform Inference on Fine Grid Points

Shunsuke Imai

arXiv 21 Dec 2025 · Statistics — Methodology

arXiv:2512.18627 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Uniform confidence bands for functions are widely used in empirical analysis. A variety of simple implementation methods (most notably multiplier bootstrap) have been proposed and theoretically justified. However, an implementation over a literally continuous index set is generally computationally infeasible, and practitioners therefore compute the critical value by evaluating the statistic on a finite evaluation grid. This paper quantifies how fine the evaluation grid must be for a multiplier bootstrap procedure over finite grid points to deliver valid uniform confidence bands. We derive an explicit bound on the resulting coverage error that separates discretization effects from the intrinsic high-dimensional bootstrap approximation error on the grid. The bound yields a transparent workflow for choosing the grid size in practice, and we illustrate the implementation through an example of kernel density estimation.

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17
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Chernozhukov, Victor and Chetverikov, Denis and Kato, Kengo and Koik… (2022) Improved central limit theorem and bootstrap approximation in high dimensions1.000113100%
2Chernozhukov, Victor and Chetverikov, Denis and Kato, Kengo (2014) Gaussian approximation of suprema of empirical processes0.73732100%
3Imai, Shunsuke and Qin, Lei and Yanagi, Takahide (2025) Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences self0.64422100%
4Kato, Kengo and Sasaki, Yuya (2018) Uniform confidence bands in deconvolution with unknown error distribution0.64422100%
5Le Cam, Lucien (1986) Asymptotic Methods in Statistical Decision Theory0.51121100%
6Chen, Xiaohui and Kato, Kengo (2020) Jackknife multiplier bootstrap: finite sample approximations to the $U$-process supremum with applications0.40511100%
7Bickel, Peter J and Rosenblatt, Murray (1973) On some global measures of the deviations of density function estimates0.40511100%
8Chernozhukov, Victor and Chetverikov, Denis and Kato, Kengo (2014) Anti-concentration and honest, adaptive confidence bands0.40511100%
9Chernozhukov, Victor and Chetverikov, Denis and Kato, Kengo (2016) Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings0.40511100%
10Chernozhukov, Victor and Chetverikov, Denis and Kato, Kengo and Koik… (2023) High-dimensional data bootstrap0.40511100%

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Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1A Grid-Rate Condition for Valid Uniform Inference0.64422