Pith Number

pith:JWSX5JW4

pith:2026:JWSX5JW4KHA2ZFFA55U2IUBRA7

not attested not anchored not stored refs resolved

Linking COPD Prevalence with Income Distribution: A Spatial Heterogeneous Compositional Regression via Geographically Weighted Penalized Approach

Guanyu Hu, Jingwen Deng, Sergio J. Rey, Shujie Ma

A geographically weighted regression with pairwise fusion penalties identifies clusters of regions sharing similar income-COPD relationships even when the regions are not adjacent.

arxiv:2605.12830 v1 · 2026-05-12 · stat.ME

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\pithnumber{JWSX5JW4KHA2ZFFA55U2IUBRA7}

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our method adopts a pairwise fusion penalty that enables detection of both contiguous and noncontiguous regional clusters with shared regression effects, thereby relaxing strong assumptions of spatial smoothness and geographic contiguity.

C2weakest assumption

The pairwise fusion penalty, combined with nonconvex regularization, correctly recovers the true underlying spatial clusters without excessive false merging or splitting when applied to real compositional income data.

C3one line summary

A new penalized geographically weighted compositional regression detects both contiguous and non-contiguous spatial clusters with shared effects when linking income distributions to COPD prevalence.

References

75 extracted · 75 resolved · 3 Pith anchors

[1] Public Health Regions , year =

[2] Pleasants, R. A. and Riley, I. L. and Mannino, D. M. , title =. Int J Chron Obstruct Pulmon Dis , year =

[3] Grigsby, M. and Siddharthan, T. and Chowdhury, M. A. and Siddiquee, A. and Rubinstein, A. and Sobrino, E. and Miranda, J. J. and Bernabe-Ortiz, A. and Alam, D. and Checkley, W. , journal=. Socioeconom 2016 · doi:10.2147/copd.s111145

[4] 2024 , journal = 2024 · doi:10.1007/s10109-023-00411-2

[5] Journal of the American Statistical Association , year=

Receipt and verification

First computed	2026-05-18T03:09:12.101032Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4da57ea6dc51c1ac94a0ef69a4503107f526b77062a34b70ba6ec85ed5d3c551

Aliases

arxiv: 2605.12830 · arxiv_version: 2605.12830v1 · doi: 10.48550/arxiv.2605.12830 · pith_short_12: JWSX5JW4KHA2 · pith_short_16: JWSX5JW4KHA2ZFFA · pith_short_8: JWSX5JW4

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JWSX5JW4KHA2ZFFA55U2IUBRA7 \
  | 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: 4da57ea6dc51c1ac94a0ef69a4503107f526b77062a34b70ba6ec85ed5d3c551

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9f1f627d55449c4a9fc244398766eb242a89902e2b7c632c1b2f55466c5bad1f",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-05-12T23:54:29Z",
    "title_canon_sha256": "b0d9db133ad64b7b22519976713261c5f5849d9fb784c22560282c8f18c5ff8d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12830",
    "kind": "arxiv",
    "version": 1
  }
}