Abstract

We obtain sharp sufficient conditions for exponentially integrable stochastic processes , to have sample paths with bounded ‐variation. When is moreover Gaussian, we also provide a bound of the expectation of the associated ‐variation norm of . For a Hermite process of order and of Hurst index , we show that is of bounded ‐variation where , and that this is optimal. This shows that in terms of ‐variation, the Rosenblatt process (corresponding to ) has more rough sample paths than the fractional Brownian motion (corresponding to ).

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