pith:2DKHTONW
Wasserstein-Based Test for Empirical Measure Convergence of Dependent Sequences
A Wasserstein-1 statistic tests convergence of empirical measures from stationary dependent sequences.
arxiv:2604.02700 v2 · 2026-04-03 · stat.AP
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Claims
We establish asymptotic level-α validity under the null, together with consistency under fixed alternatives for the statistic T_n = sqrt(n) W_1(μ̂_n, μ).
The underlying sequence is stationary and possesses an invariant probability measure μ (implicit in the setup for both known and unknown cases).
Wasserstein-based tests for empirical measure convergence in stationary dependent sequences, with asymptotic level-alpha validity for known measures and pairwise tests for unknown measures.
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| First computed | 2026-05-22T01:04:01.353392Z |
|---|---|
| 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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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DKHTONWN6S5CHY4KGODK4DCE3 \
| 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())"
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Canonical record JSON
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