pith:AJ3XOPGR
Nearest-Neighbour Matching on Unbounded Supports and Covariate Shift Transfer
Nearest-neighbour matching achieves usual convergence rates on unbounded supports via a transferability measure between source and target distributions.
arxiv:2605.16027 v1 · 2026-05-15 · math.ST · stat.TH
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Claims
We show that the usual rates of convergence can be achieved with minimal assumptions on the covariate supports. These assumptions are replaced with conditions on the source and target distributions, among which a measure of the transferability between the two probability measures.
A finite transferability measure exists between the source and target probability measures that is sufficient to control the bias and variance terms arising in the nearest-neighbour estimator.
Nearest-neighbour matching achieves usual convergence rates under general transferability conditions on source-target distribution pairs, relaxing compact support and bounded density assumptions.
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| First computed | 2026-05-20T00:01:49.856403Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/AJ3XOPGRAMU5BJBYQO344H4IOZ \
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Canonical record JSON
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