Poisson approximation of empirical processes
This paper concerns the statistical modelling of Poisson processes. It consists of an intermediate step of replacing truncated empirical point processes by Poisson processes having identical intensity measures and, secondly, the building of models of limiting Poisson processes. The second step is exemplified with models of extreme value processes. In that context, it is shown that point processes of exceedances converge to some extreme value process in terms of the variational distance if, and only if, the underlying distribution belongs to the strong domain of attraction of an extreme value distribution. AMS 1980 Subject Classifications: Primary 60G55, 62B15
Year of publication: |
1992
|
---|---|
Authors: | Falk, Michael ; Reiss, Rolf-Dieter |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 14.1992, 1, p. 39-48
|
Publisher: |
Elsevier |
Keywords: | Empirical and Poisson process variational and Hellinger distance |
Saved in:
Saved in favorites
Similar items by person
-
Estimation of canonical dependence parameters in a class of bivariate peaks-over-threshold models
Falk, Michael, (2001)
-
Efficient estimators and LAN in canonical bivariate POT models
Falk, Michael, (2003)
-
On Pickands coordinates in arbitrary dimensions
Falk, Michael, (2005)
- More ...