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

Ziyan LUO , Liqun QI , Philippe L. TOINT

Front. Math. China ›› 2020, Vol. 15 ›› Issue (2) : 367 -384.

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Front. Math. China ›› 2020, Vol. 15 ›› Issue (2) : 367 -384. DOI: 10.1007/s11464-020-0830-4
RESEARCH ARTICLE
RESEARCH ARTICLE

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

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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

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Ziyan LUO, Liqun QI, Philippe L. TOINT. Tensor Bernstein concentration inequalities with an application to sample estimators for high-order moments. Front. Math. China, 2020, 15(2): 367-384 DOI:10.1007/s11464-020-0830-4

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