Berry-Esseen bounds for functionals of independent random variables
We derive Berry-Esseen approximation bounds for general functionals of independent random variables, based on a continuous-time integration by parts setting and discrete chaos expansions methods. Our approach improves on related results obtained in discrete-time integration by parts settings and app...
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sg-ntu-dr.10356-1612922023-02-28T20:11:45Z Berry-Esseen bounds for functionals of independent random variables Privault, Nicolas Serafin, Grzegorz School of Physical and Mathematical Sciences Science::Mathematics Stein-Chen Method Berry-Esseen Bounds We derive Berry-Esseen approximation bounds for general functionals of independent random variables, based on a continuous-time integration by parts setting and discrete chaos expansions methods. Our approach improves on related results obtained in discrete-time integration by parts settings and applies to U-statistics satisfying the weak assumption of decomposability in the Hoeffding sense, and yield Kolmogorov distance bounds instead of the Wasserstein bounds previously derived in the special case of degenerate U-statistics. Linear and quadratic functionals of arbitrary sequences of independent random variables are included as particular cases, with new fourth moment bounds, and applications are given to Hoeffding decompositions, weighted U-statistics, quadratic forms, and random subgraph weighing. In the case of quadratic forms, our results recover and improve the bounds available in the literature, and apply to matrices with non-empty diagonals. Published version G. Serafin was supported by the National Science Centre, Poland, grant number 2015/18/E/ST1/00239. 2022-08-24T02:35:34Z 2022-08-24T02:35:34Z 2022 Journal Article Privault, N. & Serafin, G. (2022). Berry-Esseen bounds for functionals of independent random variables. Electronic Journal of Probability, 27. https://dx.doi.org/10.1214/22-EJP795 1083-6489 https://hdl.handle.net/10356/161292 10.1214/22-EJP795 2-s2.0-85132842813 27 en Electronic Journal of Probability © 2022 The Authors. All rights reserved. This paper was published by Bernouli Society and the Institute of Mathematical Statistics in Electronic Journal of Probability and is made available with permission of the authors. application/pdf |
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Science::Mathematics Stein-Chen Method Berry-Esseen Bounds Privault, Nicolas Serafin, Grzegorz Berry-Esseen bounds for functionals of independent random variables |
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We derive Berry-Esseen approximation bounds for general functionals of independent random variables, based on a continuous-time integration by parts setting and discrete chaos expansions methods. Our approach improves on related results obtained in discrete-time integration by parts settings and applies to U-statistics satisfying the weak assumption of decomposability in the Hoeffding sense, and yield Kolmogorov distance bounds instead of the Wasserstein bounds previously derived in the special case of degenerate U-statistics. Linear and quadratic functionals of arbitrary sequences of independent random variables are included as particular cases, with new fourth moment bounds, and applications are given to Hoeffding decompositions, weighted U-statistics, quadratic forms, and random subgraph weighing. In the case of quadratic forms, our results recover and improve the bounds available in the literature, and apply to matrices with non-empty diagonals. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Privault, Nicolas Serafin, Grzegorz |
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Article |
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Privault, Nicolas Serafin, Grzegorz |
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Privault, Nicolas |
title |
Berry-Esseen bounds for functionals of independent random variables |
title_short |
Berry-Esseen bounds for functionals of independent random variables |
title_full |
Berry-Esseen bounds for functionals of independent random variables |
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Berry-Esseen bounds for functionals of independent random variables |
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Berry-Esseen bounds for functionals of independent random variables |
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berry-esseen bounds for functionals of independent random variables |
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2022 |
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https://hdl.handle.net/10356/161292 |
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