pith:7YYHZK4C
Two-Sample Inference for Gaussian-Smoothed Wasserstein Costs with Finite Moments
The plug-in estimator for the Gaussian-smoothed Wasserstein cost converges at rates determined by the distributions' polynomial moments.
arxiv:2605.09084 v2 · 2026-05-09 · math.ST · stat.TH
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Record completeness
Claims
For fixed smoothing and finite polynomial moments M_{q_μ}(μ)<∞, M_{q_ν}(ν)<∞ with q_μ,q_ν>p, we establish upper bounds in probability of order ρ_{q_μ,p,d}(m)+ρ_{q_ν,p,d}(n) where ρ_{q,p,d}(N)=N^{-(q-p)/(q+d)} for p<q<d+2p, N^{-1/2} log N at q=d+2p, and N^{-1/2} for q>d+2p.
The distributions μ and ν possess finite polynomial moments of order q_μ and q_ν strictly greater than p; the smoothing parameter σ is fixed and positive.
Provides probabilistic upper bounds of order depending on moment orders and a central limit theorem for two-sample estimators of Gaussian-smoothed p-Wasserstein distances under finite moments.
Receipt and verification
| First computed | 2026-05-28T02:04:49.236325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe307cab82f2fdcf2c5fefd9c586bc1a79883950b031e656a814d57248968178
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YYHZK4C6L646LC757M4LBV4DJ \
| 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: fe307cab82f2fdcf2c5fefd9c586bc1a79883950b031e656a814d57248968178
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"submitted_at": "2026-05-09T17:49:04Z",
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