Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Quadratic-mean differentiability at a parameter

Definition

Let P:Θ→P(X,A) be a parametric model, let Θ be open in Rd, and let a supplied sigma-finite measure μ dominate every Pθ (Parametric statistical models, Dominated statistical experiments). Supply as part of the setup a family of nonnegative finite-valued measurable functions pθ:X→[0,∞) satisfying Pθ(A)=∫Apθ dμ for every A∈A (The measure with density f relative to μ). Thus each pθ integrates to one. The density family is supplied, rather than selected from domination alone; no choice principle, joint measurability in (θ,x), or common exceptional null set is asserted. A supplied extended-valued probability density can be made finite-valued by setting it to zero on its measurable infinite-value set, which has measure zero because its integral is one. The QMD condition is unchanged by replacing any supplied density by an almost-everywhere equal version: for each fixed h, the norm in the condition below changes only on the union of two null sets. At an interior point θ0, the model is quadratic-mean differentiable (QMD) with score sθ0 if sθ0:X→Rd is measurable, Eθ0∥sθ0(X)∥2<∞, and

∫(pθ0+h−pθ0−12hTsθ0pθ0)2dμ=o(∥h∥2)

as h→0 with θ0+h∈Θ. Values of the score on {pθ0=0} do not affect this condition. The Fisher information associated with this QMD score is Iθ0=Eθ0[sθ0sθ0T]; it may be singular. QMD is an L2(μ) condition and does not assert pointwise differentiability of pθ or local mutual absolute continuity of Pθ and Pθ0.

Depends on

Used by

Dependency tree · two levels

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Sources