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pith:2026:LDCABCY4NMWXCMXMA7HMZNZLEM
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Median Radial Function: A Robust, Covariance-Free Framework and Applications

Elsayed Elamir

A median radial depth function measures centrality in multivariate data without covariance or moment assumptions.

arxiv:2605.13439 v1 · 2026-05-13 · stat.ME

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4 Citations open
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Claims

C1strongest claim

The depth function is robust to outliers and independent of covariance structure; it does not depend on moment assumptions and naturally adapts to skewness, multimodality, and heavy-tailed distributions.

C2weakest assumption

That median distances from an appropriately chosen center can serve as the basis for a statistically valid and useful depth function without additional moment or distributional assumptions.

C3one line summary

A new median radial function defines a covariance-free, outlier-robust depth measure for multivariate data that adapts to skewness and multimodality.

References

2 extracted · 2 resolved · 0 Pith anchors

[1] Boente, G., & Salibián-Barrera, M. (2021). Robust functional principal components for sparse longitudinal data. METRON, 79(2), 159–188. https://doi.org/10.1007/s40300- 020-00193-3 Boyd, S., & Vandenbe 2021 · doi:10.1007/s40300-
[2] On the Generalised Distance in Statistics 2019 · doi:10.1007/s42519-021-00236-6
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First computed 2026-05-18T02:44:47.058056Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

58c4008b1c6b2d7132ec07ceccb72b2321af7d21ca7ce8be824b6121d18c7c39

Aliases

arxiv: 2605.13439 · arxiv_version: 2605.13439v1 · doi: 10.48550/arxiv.2605.13439 · pith_short_12: LDCABCY4NMWX · pith_short_16: LDCABCY4NMWXCMXM · pith_short_8: LDCABCY4
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDCABCY4NMWXCMXMA7HMZNZLEM \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 58c4008b1c6b2d7132ec07ceccb72b2321af7d21ca7ce8be824b6121d18c7c39
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-05-13T12:36:00Z",
    "title_canon_sha256": "84aa00c7670f2f618e66f3c3216f58e64801f38e56113750f558c3a7a3c3caed"
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