pith:LDCABCY4
Median Radial Function: A Robust, Covariance-Free Framework and Applications
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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\pithnumber{LDCABCY4NMWXCMXMA7HMZNZLEM}
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Record completeness
Claims
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.
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.
A new median radial function defines a covariance-free, outlier-robust depth measure for multivariate data that adapts to skewness and multimodality.
References
Receipt and verification
| 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
· · · · ·Agent API
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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