Tensor Bernstein concentration inequalities with an application to sample estimators for high-order moments

Abstract

This paper develops the Bernstein tensor concentration inequality for random tensors of general order, based on the use of Einstein products for tensors. This establishes a strong link between these and matrices, which in turn allows exploitation of existing results for the latter. An interesting application to sample estimators of high-order moments is presented as an illustration.

Keywords

Random tensors / concentration inequality / Einstein products / sub-sampling / computational statistics

References

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