1981
DOI: 10.1016/0047-259x(81)90086-5
|View full text |Cite
|
Sign up to set email alerts
|

Operator-stable laws

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
19
0

Year Published

1981
1981
2017
2017

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 35 publications
(19 citation statements)
references
References 3 publications
0
19
0
Order By: Relevance
“…In the setting of Example 4.1, define the scaling by letting tx :" exptplog tqAux, t ą 0, for a non-degenerate matrix A. The corresponding stable elements are usually called operator stable, see [12,28]. An operator stable random element is infinitely divisible and so admits a series representation and a Lévy measure.…”
Section: Examplesmentioning
confidence: 99%
“…In the setting of Example 4.1, define the scaling by letting tx :" exptplog tqAux, t ą 0, for a non-degenerate matrix A. The corresponding stable elements are usually called operator stable, see [12,28]. An operator stable random element is infinitely divisible and so admits a series representation and a Lévy measure.…”
Section: Examplesmentioning
confidence: 99%
“…In particular he showed that any operator stable measure + can be written as + G V + P where + G is a Gaussian measure and + P is an operator stable measure with no Gaussian component. Hudson and Mason (1981b) determined the support of each of these measures as follows. Select any exponent B of + and factor the minimal polynomial of B as g h where each root of g is simple and has real part equal to 1Â2 while each root of h has real part greater than 1Â2.…”
Section: Proofsmentioning
confidence: 99%
“…Theorem 1 in [HM2] allows us to consider the Gaussian component and the purely non-Gaussian component separately.…”
Section: / N\t ίB* N \ Ib(t) N -R^d φ(θ) = φ(T θ)E θ E R mentioning
confidence: 99%