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Exponential rate of almost-sure convergence of intrinsic martingales in supercritical branching random walks
| Content Provider | Scilit |
|---|---|
| Author | Iksanov, Alexander Meiners, Matthias |
| Copyright Year | 2010 |
| Description | We provide sufficient conditions which ensure that the intrinsic martingale in the supercritical branching random walk converges exponentially fast to its limit. We include in particular the case of Galton-Watson processes so that our results can be seen as a generalization of a result given in the classical treatise by Asmussen and Hering (1983). As an auxiliary tool, we prove ultimate versions of two results concerning the exponential renewal measures which may be of interest in themselves and which correct, generalize, and simplify some earlier works. |
| Related Links | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/1771E5EBB2A28C297F784E90DAC42E60/S0021900200006781a.pdf/div-class-title-exponential-rate-of-almost-sure-convergence-of-intrinsic-martingales-in-supercritical-branching-random-walks-div.pdf |
| Ending Page | 525 |
| Page Count | 13 |
| Starting Page | 513 |
| ISSN | 00219002 |
| e-ISSN | 14756072 |
| DOI | 10.1239/jap/1276784906 |
| Journal | Journal of applied probability |
| Issue Number | 2 |
| Volume Number | 47 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2010-06-01 |
| Access Restriction | Open |
| Subject Keyword | Journal of applied probability Almost Sure Convergence Rate of Convergence Renewal Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |