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  1. Journal of Theoretical Probability
  2. Journal of Theoretical Probability : Volume 30
  3. Journal of Theoretical Probability : Volume 30, Issue 1, March 2017
  4. Selfdecomposable Fields
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Journal of Theoretical Probability : Volume 30
Journal of Theoretical Probability : Volume 30, Issue 2, June 2017
Journal of Theoretical Probability : Volume 30, Issue 1, March 2017
Space–Time Fractional Equations and the Related Stable Processes at Random Time
Convergence in Law for the Branching Random Walk Seen from Its Tip
Large Deviations for Sums of Random Vectors Attracted to Operator Semi-Stable Laws
Distributional Transformations Without Orthogonality Relations
On the Study of Processes of $$\sum (H)$$ and $$\sum _\mathrm{s}(H)$$ Classes
CLT for Random Walks of Commuting Endomorphisms on Compact Abelian Groups
Holderian Weak Invariance Principle for Stationary Mixing Sequences
Maps Preserving Moment Sequences
Selfdecomposable Fields
Least Energy Approximation for Processes with Stationary Increments
On the Double Points of Operator Stable Lévy Processes
Spectral Radii of Large Non-Hermitian Random Matrices
Two Novel Characterizations of Self-Decomposability on the Half-Line
Free Probability for Pairs of Faces IV: Bi-free Extremes in the Plane
Erratum to: An $$L_{p}$$ -theory of Stochastic PDEs of Divergence Form on Lipschitz Domains
Journal of Theoretical Probability : Volume 29
Journal of Theoretical Probability : Volume 28
Journal of Theoretical Probability : Volume 27
Journal of Theoretical Probability : Volume 26
Journal of Theoretical Probability : Volume 25
Journal of Theoretical Probability : Volume 24
Journal of Theoretical Probability : Volume 23
Journal of Theoretical Probability : Volume 22
Journal of Theoretical Probability : Volume 21
Journal of Theoretical Probability : Volume 20
Journal of Theoretical Probability : Volume 19
Journal of Theoretical Probability : Volume 18
Journal of Theoretical Probability : Volume 17
Journal of Theoretical Probability : Volume 16
Journal of Theoretical Probability : Volume 15
Journal of Theoretical Probability : Volume 14
Journal of Theoretical Probability : Volume 13
Journal of Theoretical Probability : Volume 12
Journal of Theoretical Probability : Volume 11
Journal of Theoretical Probability : Volume 10

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Selfdecomposable Fields

Content Provider Springer Nature Link
Author Barndorff Nielsen, Ole E. Sauri, Orimar Szozda, Benedykt
Copyright Year 2015
Abstract In the present paper, we study selfdecomposability of random fields, as defined directly rather than in terms of finite-dimensional distributions. The main tools in our analysis are the master Lévy measure and the associated Lévy-Itô representation. We give the dilation criterion for selfdecomposability analogous to the classical one. Next, we give necessary and sufficient conditions (in terms of the kernel function) for a Volterra field driven by a Lévy basis to be selfdecomposable. In this context, we also study the so-called Urbanik classes of random fields. We follow this with the study of existence and selfdecomposability of integrated Volterra fields. Finally, we introduce infinitely divisible field-valued Lévy processes, give the Lévy-Itô representation associated with them and study stochastic integration with respect to such processes. We provide examples in the form of Lévy semistationary processes with a Gamma kernel and Ornstein–Uhlenbeck processes.
Ending Page 267
Page Count 35
Starting Page 233
File Format PDF
ISSN 08949840
e-ISSN 15729230
Journal Journal of Theoretical Probability
Issue Number 1
Volume Number 30
Language English
Publisher Springer US
Publisher Date 2015-07-29
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Selfdecomposability of random fields Urbanik classes of random fields Volterra fields Random fields Probability Theory and Stochastic Processes Infinitely divisible distributions; stable distributions Statistics Processes with independent increments; Lévy processes
Content Type Text
Resource Type Article
Subject Statistics and Probability Statistics, Probability and Uncertainty
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