pith:HJ7IZWOI
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
Chi-squared tests based on local inhomogeneous mark-weighted K-functions detect global and local deviations from independence or homogeneity in marked point patterns.
arxiv:2605.13187 v1 · 2026-05-13 · stat.ME · stat.AP
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Claims
The methodology proves to be effective in identifying both global and localised departures from the null hypotheses, even in scenarios with subtle mark structures or small sample sizes.
The local inhomogeneous extension of the mark-weighted K-function accurately captures mark-location interactions without bias from density estimation or bandwidth choices in the local windows.
Chi-squared tests using local inhomogeneous mark-weighted K-functions can identify global and local deviations from null hypotheses in marked point patterns, even with subtle structures or small samples.
References
Receipt and verification
| First computed | 2026-05-18T03:08:56.212245Z |
|---|---|
| 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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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJ7IZWOIYGFKVIKKHO2GJGCXOE \
| 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: 3a7e8cd9c8c18aaaa14a3bb46498577112a65aabe54e9b43ec461592ef45a4a7
Canonical record JSON
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