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.
The canonical statistic of an exponential family is sufficient
Statement
Assume AC. Let be the exponential family of Exponential families and full rank on a standard Borel sample space, with , and let be its canonical statistic. Then is sufficient.
Facts & Assumptions
Given: AC, the measurable carrier , sigma-finite base , nonempty natural parameter set , log normalizer , and density formula from the exponential-family definition.
The Axiom of Choice: the common-reference RN criterion is used under AC.
Sufficient statistics: a common regular conditional law of the data given is the sufficiency criterion.
Common-reference factorization criterion for sufficiency: with a reference probability that is a member of the family, is sufficient when every RN derivative relative to it is a Borel function of .
Proof
Fix any ; nonemptiness is part of the family being considered. The density in [F1] is positive exactly on for every parameter. For , dividing the densities there gives -almost surely. The right side is a Borel function of .
The reference is a member of the model and dominates every other member because the densities have the common support . Apply [F3] to the derivative in step 1.1; its criterion yields a common conditional law of given . By [F2], is sufficient.
Depends on
Used by
Dependency tree · two levels
23 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Ryan Martin, Lecture Notes on Advanced Statistical Theory (standard reference, not scraped)
- Joshua M. Tebbs, STAT 512 Mathematical Statistics Lecture Notes (standard reference, not scraped)
- Peter Kempthorne, MIT 18.655 Lecture Note 6: Sufficiency (standard reference, not scraped)
- Noah Fithian, Stat 210a Reader: Sufficiency (standard reference, not scraped)
- Noah Fithian, Stat 210a Reader: Completeness, Ancillarity, and Basu’s Theorem (standard reference, not scraped)
- Charles J. Geyer, Stat 5421 Lecture Notes: Exponential Families (standard reference, not scraped)
- Jiahao Tian, Chapter 2: Sufficiency and Exponential Families (standard reference, not scraped)