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High-dimensional Data Bootstrap

Victor Chernozhukov, Denis Chetverikov, Kengo Kato, Yuta Koike

arXiv 19 May 2022 · Mathematics — Statistics Theory · publishedAnnual Review of Statistics and Its Application (2023) · 29 citations (OpenAlex)

arXiv:2205.09691 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This article reviews recent progress in high-dimensional bootstrap. We first review high-dimensional central limit theorems for distributions of sample mean vectors over the rectangles, bootstrap consistency results in high dimensions, and key techniques used to establish those results. We then review selected applications of high-dimensional bootstrap: construction of simultaneous confidence sets for high-dimensional vector parameters, multiple hypothesis testing via stepdown, post-selection inference, intersection bounds for partially identified parameters, and inference on best policies in policy evaluation. Finally, we also comment on a couple of future research directions.

Citation extraction

97
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166
in-text mentions
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distinct cited
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main-text words

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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
1Victor Chernozhukov, Denis Chetverikov, and Kengo Kato, Gaussian app… (2013) no. 6, 2786–2819 self1.000113100%
2Victor Chernozhukov, Denis Chetverikov, Kengo Kato, and Yuta Koike,… (2022) self1.000113100%
3J. Chang, W. Zhou, W.-X. Zhou, and L. Wang, Comparing large covarian… (2017) 31–411.00074100%
4Central limit theorems and bootstrap in high dimensions, The Annals… (2017) no. 4, 2309–23520.87452100%
5Hang Deng and Cun-Hui Zhang, Beyond Gaussian approximation: Bootstra… (2020) no. 6, 3643–36710.84333100%
6A. Belloni, V. Chernozhukov, and K. Kato, Uniform post selection inf… (2015) 77–940.81142100%
7Miles E Lopes, Zhenhua Lin, and Hans-Georg Müller, Bootstrapping max… (2020) no. 2, 1214–12290.81142100%
8Alexandre Belloni, Victor Chernozhukov, Denis Chetverikov, and Ying… (2018) no. 6B, 3643–3675 self0.73732100%
9High-dimensional central limit theorems by Stein’s method, The Annal… (2021) no. 4, 1660–16860.73732100%
10Notes on the dimension dependence in high-dimensional central limit… (2021) no. 1, 257–2970.73732100%

Showing the top 10 of 98 scored citations.

Cited by, within the corpus

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

Citing paperIntensityMentionsSections
1A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations0.92853
2Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach0.73742
3Bootstrap Adaptive Lasso Solution Path Unit Root Tests0.64422
4Policy Learning with Confidence$^$0.64422
5Sparse High-Dimensional Vector Autoregressive Bootstrap0.40511
6Enhanced power enhancements for testing many moment equalities: Beyond the $2$- and $$-norm0.40511
7Identification and estimation of structural vector autoregressive models via LU decomposition0.40511
8Accuracy of Uniform Inference on Fine Grid Points0.40511