OurBigBook About$ Donate
 Sign in Sign up

Moments of a marked Poisson integral (EW=∫mdμ,VarW=∫(v+m2)dμ)

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Poisson point process Independent marking theorem for Poisson point processes
2026-10-14  0 By others on same topic  0 Discussions Create my own version
Attach conditionally independent nonnegative marks to a Poisson point process, with a measurable mark law depending only on location. If a mark at z has mean m(z) and variance v(z), and the displayed integrals are finite, their total W is finite almost surely and has the displayed moments. The Campbell first-moment formula gives the first moment and finiteness. The Poisson factorial moment measure formula gives the square of that first moment for distinct pairs; the diagonal contributes ∫(v+m2)dμ. Their difference is the variance. Signed marks require absolute first-moment integrability.

 Ancestors (7)

  1. Independent marking theorem for Poisson point processes
  2. Poisson point process
  3. Probability theory
  4. Probability and statistics
  5. Area of mathematics
  6. Mathematics
  7.  Home

 View article source

 Discussion (0) New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook