Poisson convergence for set-indexed empirical processes
A compensator associated with a set-indexed single jump process is computed. This leads to a direct construction of a compensator associated with a set-indexed empirical process, where a family of i.i.d. random variables is given in a Euclidean space. It is then shown that if the distribution function is differentiable at the origin, the suitably resealed empirical process converges to a spatial Poisson process.
Year of publication: |
1997
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Authors: | Ivanoff, B. Gail ; Merzbach, Ely |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 32.1997, 1, p. 81-86
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Publisher: |
Elsevier |
Keywords: | Single jump process Empirical process Strong martingale Compensator Poisson process |
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