pith:Q47KNYFT
Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores
Propensity score propagation achieves nominal coverage for design-based inference when propensity scores are unknown and estimated from data.
arxiv:2601.13150 v3 · 2026-01-19 · stat.ME
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Claims
Theoretical and simulation studies show that the proposed framework achieves nominal coverage, even in settings where conventional approaches exhibit substantial under-coverage.
That the regeneration-and-union procedure correctly propagates uncertainty from propensity score estimation into the design-based inference without violating the finite-population properties or introducing bias that the theory does not account for.
Propensity score propagation is a general framework that achieves nominal coverage for design-based inference by propagating uncertainty from both parametric and nonparametric propensity score estimates via a regeneration-and-union procedure.
Receipt and verification
| First computed | 2026-06-05T01:14:33.287629Z |
|---|---|
| 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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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q47KNYFTD2MI2ZOMJNMKLOJ3V5 \
| 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: 873ea6e0b31e988d65cc4b58a5b93baf7b80a92f365bb0ecf0a11185d216b036
Canonical record JSON
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