This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 176
Type: Contributed
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #307664
Title: Invariance Principles for Some FARIMA and Nonstationary Linear Processes in the Domain of a Stable Distribution
Author(s): William Peter McCormick*+
Companies: The University of Georgia
Address: Statistics Department, Athens, GA, 30602,
Keywords: invariance principle ; stable distribution ; FARIMA ; fractional Levy processes ; heavy traffic
Abstract:

We prove invariance principles for processes which generalize FARIMA processes, when the innovations are in the domain of attraction of a nonGaussian stable distribution. The limiting processes are extensions of fractional Levy processes. The technique used extends the idea of splitting a sample into a central part and an extreme one, analyzing each part with different techniques, and then combining the results. Application is made to solving a tail area problem for the maximum of a random walk under heavy traffic conditions.


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