Open Access
July, 1992 Semi-Min-Stable Processes
Mathew D. Penrose
Ann. Probab. 20(3): 1450-1463 (July, 1992). DOI: 10.1214/aop/1176989700

Abstract

We define a semi-min-stable (SMS) process $Y(t)$ in $\lbrack 0,\infty)$ to be one which is stable under the simultaneous operations of taking the minima of $n$ independent copies of $Y(t)$ (pointwise over time $t$) and rescaling space and time. We show that the only possible rescaling of time is by a fixed power of $n$ and that SMS processes are essentially the only possible weak limits for large $m$ of a process obtained by taking the minimum, pointwise over $t$, of $m$ independent copies of a given process and then rescaling space and time. We describe the representation of a SMS process as the minimum of a Poisson process on a function space. We obtain a partial characterization of sample continuous SMS processes, similar to that of de Haan in the case of max-stable processes.

Citation

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Mathew D. Penrose. "Semi-Min-Stable Processes." Ann. Probab. 20 (3) 1450 - 1463, July, 1992. https://doi.org/10.1214/aop/1176989700

Information

Published: July, 1992
First available in Project Euclid: 19 April 2007

zbMATH: 0762.60040
MathSciNet: MR1175271
Digital Object Identifier: 10.1214/aop/1176989700

Subjects:
Primary: 60K99
Secondary: 60B12 , 60G55 , 60G70

Keywords: Extreme values , Max-stable process , Poisson process in function space , renormalization , sample continuity , weak limits

Rights: Copyright © 1992 Institute of Mathematical Statistics

Vol.20 • No. 3 • July, 1992
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