Invariance properties of random vectors and stochastic processes based on the zonoid concept

Abstract

Two integrable random vectors $\xi$ and ${\xi }^{\ast }$ in ${\mathbb{R}}^d$ are said to be zonoid equivalent if, for each $u\in {\mathbb{R}}^d$, the scalar products $⟨\xi ,u⟩$ and $⟨{\xi }^{\ast },u⟩$ have the same first absolute moments. The paper analyses stochastic processes whose finite-dimensional distributions are zonoid equivalent with respect to time shift (zonoid stationarity) and permutation of its components (swap invariance). While the first concept is weaker than the stationarity, the second one is a weakening of the exchangeability property. It is shown that nonetheless the ergodic theorem holds for swap-invariant sequences and the limits are characterised.

Published in at http://dx.doi.org/10.3150/13-BEJ519 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)

References in corpus (3)

• Stationary max-stable fields associated to negative definite functions
• Esscher transform and the duality principle for multidimensional semimartingales
• Stochastic integral representations and classification of sum- and max-infinitely divisible processes

Cited by in corpus (8)

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• On Idempotent D-Norms
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• Swap-invariant and exchangeable random measures
• Lift zonoid and barycentric representation on a Banach space with a cylinder measure