A Lamperti type representation of Continuous-State Branching Processes with Immigration

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

34 pages, 1 figure; corrected typos, clarified some unclear points, results (mainly) unchanged

Scientific paper

Guided by the relationship between the breadth-first walk of a rooted tree and its sequence of generation sizes, we are able to include immigration in the Lamperti representation of continuous-state branching processes. We provide a representation of continuous-state branching processes with immigration by solving a random ordinary differential equation driven by a pair of independent L\'evy processes. Stability of the solutions is studied and gives, in particular, limit theorems (of a type previously studied by Grimvall, Kawazu and Watanabe, and Li) and a simulation scheme for continuous-state branching processes with immigration. We further apply our stability analysis to extend Pitman's limit theorem concerning Galton-Watson processes conditioned on total population size to more general offspring laws.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A Lamperti type representation of Continuous-State Branching Processes with Immigration does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Lamperti type representation of Continuous-State Branching Processes with Immigration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Lamperti type representation of Continuous-State Branching Processes with Immigration will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-108393

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.