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Bias correction for Chatterjee's graph-based correlation coefficient

Mona Azadkia, Leihao Chen, Fang Han

arXiv 12 Aug 2025 · Statistics — Methodology

arXiv:2508.09040 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Azadkia and Chatterjee (2021) recently introduced a simple nearest neighbor (NN) graph-based correlation coefficient that consistently detects both independence and functional dependence. Specifically, it approximates a measure of dependence that equals 0 if and only if the variables are independent, and 1 if and only if they are functionally dependent. However, this NN estimator includes a bias term that may vanish at a rate slower than root-$n$, preventing root-$n$ consistency in general. In this article, we propose a bias correction approach that overcomes this limitation, yielding an NN-based estimator that is both root-$n$ consistent and asymptotically normal.

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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
1Mona Azadkia and Sourav Chatterjee (2021) A simple measure of conditional dependence self1.000136100%
2Zhexiao Lin and Fang Han (2022) Limit theorems of Chatterjee's rank correlation self1.000104100%
3Simon Viel and Lionel Truquet and Ikko Yamane (2025) Convergence rate for Nearest Neighbour matching: geometry of the domain and higher-order regularity1.00063100%
4Lin, Zhexiao and Ding, Peng and Han, Fang (2023) Estimation based on nearest neighbor matching: from density ratio to average treatment effect self0.92843100%
5Cattaneo, Matias D and Han, Fang and Lin, Zhexiao (2025) On Rosenbaum's rank-based matching estimator self0.87462100%
6Dette, Holger and Kroll, Marius (2025) A simple bootstrap for Chatterjee's rank correlation0.84333100%
7Grisvard, Pierre (2011) Elliptic Problems in Nonsmooth Domains0.81142100%
8Dette, Holger and Siburg, Karl F. and Stoimenov, Pavel A (2013) A copula-based non-parametric measure of regression dependence0.73732100%
9Abadie, A. and Imbens, G. W (2011) Bias-corrected matching estimators for average treatment effects0.64422100%
10Ansari, Jonathan and Fuchs, Sebastian (2025) A direct extension of Azadkia & Chatterjee's rank correlation to multi-response vectors0.64422100%

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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
1Limit theorems of Azadkia-Chatterjee's conditional graph correlation0.769114