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  5. General inverse problems for regular variation

General inverse problems for regular variation

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Final_JAP.pdf (367.87 KB)
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https://hdl.handle.net/1813/34411
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ORIE Technical Reports
Author
Damek, Ewa
Mikosch, Thomas
Rosinski, Jan
Samorodnitsky, Gennady
Abstract

Regular variation of distributional tails is known to be preserved by
various linear transformations of some random structures.
An inverse problem for regular
variation aims at understanding whether the regular variation of a
transformed random object is caused by regular variation of components
of the original random structure. In this paper we build up on previous
work and derive results in the multivariate case and in
situations where regular variation is
not restricted to one particular direction or quadrant.

Sponsorship
Ewa Damek's research
was partially supported by
the NCN grant DEC-2012/05/B/ST1/00692.
Thomas Mikosch's research
was partially supported by
the Danish Natural Science Research Council (FNU) Grants
09-072331 "Point process modelling and statistical inference"
and 10-084172 ``Heavy tail phenomena: Modeling and estimation''.
Jan Rosi\'nski's research
was partially supported by the Simons Foundation grant 281440.
Gennady Samorodnitsky's research was
partially supported by the NSF grant DMS-1005903,
and the ARO grants W911NF-07-1-0078 and and W911NF-12-10385 at
Cornell University.
Date Issued
2013-10-02
Keywords
regular variation
•
inverse problem
•
linear process
•
random matrix
Type
technical report

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