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

Mathematics – Probability

Scientific paper

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Scientific paper

Two integrable random vectors in the Euclidean space are said to be zonoid equivalent if the scalar products of these vectors with any given vector share the same first absolute moment. The paper analyses stochastic processes whose finite-dimensional distributions are zonoid equivalent with respect to time shift (zonoid stationarity) and permutation of time moments (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.

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