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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generated
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Proper full conditional kernel

Definition

Let I be a finite nonempty index set, let (Si,Si)i∈I be measurable spaces, set S=∏i∈ISi with its finite product sigma-algebra, and let π be a probability measure on S. For a nonempty block B⊆I, write SB=∏i∈BSi, S−B=∏i∈I∖BSi, let p−B:S→S−B be the coordinate projection, and define π−B(D):=π(p−B−1(D)) for measurable D⊆S−B.

Products and product sigma-algebras use the empty-product convention in The product sigma-algebra and its finite iterates: if B=I, then S−B is the one-point space {()} with its trivial sigma-algebra.

A proper full conditional kernel for block B is a supplied probability kernel KB:S−B→SB such that for every product-measurable C⊆S and every measurable D⊆S−B, π(C∩p−B−1(D))=∫DKB(z,Cz) π−B(dz),Cz:={u∈SB:splice⁡B(z,u)∈C}. Here splice⁡B(z,u) is the unique state whose coordinates on I∖B are z and whose coordinates on B are u. This is the event-identity definition of a regular conditional distribution of the block given the retained coordinates, with every kernel section a probability measure at every z. It makes no existence claim; the A-page density corollary gives one sufficient case.

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