pith:SWCAX6XU
Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models
Lower bounds link mixture density distances to Wasserstein and scale discrepancies, yielding contraction rates for latent mixing measures in infinite location-scale models with unknown shared scale.
arxiv:2605.06845 v2 · 2026-05-07 · math.ST · stat.TH
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Claims
we obtain first-of-their-kind contraction rates in the context of Dirichlet process mixtures with an unknown scale parameter shared across components
The approach relies on the smoothness of the mixture kernel via the rate of decay of its characteristic function and a novel PDE inversion condition for sharper inequalities in ordinary-smooth cases.
The paper provides novel lower bounds connecting L1 distances of mixture densities to discrepancies in mixing measures, leading to first contraction rates for Dirichlet process mixtures with unknown scale.
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| First computed | 2026-06-30T02:17:22.384261Z |
|---|---|
| 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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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SWCAX6XUXQ6A7GV7ZNGDEDOYJU \
| jq -c '.canonical_record' \
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# expect: 95840bfaf4bc3c0f9abfcb4c320dd84d36788b57b46e8a365d85f3966dc6cffc
Canonical record JSON
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