Stein approximation for functionals of independent random sequences

We derive Stein approximation bounds for functionals of uniform random variables, using chaos expansions and the Clark-Ocone representation formula combined with derivation and finite difference operators. This approach covers sums and functionals of both continuous and discrete independent random v...

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Main Authors: Privault, Nicolas, Serafin, Grzegorz
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/88783
http://hdl.handle.net/10220/44722
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author Privault, Nicolas
Serafin, Grzegorz
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Privault, Nicolas
Serafin, Grzegorz
author_sort Privault, Nicolas
collection NTU
description We derive Stein approximation bounds for functionals of uniform random variables, using chaos expansions and the Clark-Ocone representation formula combined with derivation and finite difference operators. This approach covers sums and functionals of both continuous and discrete independent random variables. For random variables admitting a continuous density, it recovers classical distance bounds based on absolute third moments, with better and explicit constants. We also apply this method to multiple stochastic integrals that can be used to represent U-statistics, and include linear and quadratic functionals as particular cases.
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spelling ntu-10356/887832023-02-28T19:35:56Z Stein approximation for functionals of independent random sequences Privault, Nicolas Serafin, Grzegorz School of Physical and Mathematical Sciences Independent Sequences Uniform Distribution We derive Stein approximation bounds for functionals of uniform random variables, using chaos expansions and the Clark-Ocone representation formula combined with derivation and finite difference operators. This approach covers sums and functionals of both continuous and discrete independent random variables. For random variables admitting a continuous density, it recovers classical distance bounds based on absolute third moments, with better and explicit constants. We also apply this method to multiple stochastic integrals that can be used to represent U-statistics, and include linear and quadratic functionals as particular cases. MOE (Min. of Education, S’pore) Published version 2018-04-26T04:22:53Z 2019-12-06T17:10:50Z 2018-04-26T04:22:53Z 2019-12-06T17:10:50Z 2018 Journal Article Privault, N., & Serafin, G. (2018). Stein approximation for functionals of independent random sequences. Electronic Journal of Probability, 23(2018), 4-. https://hdl.handle.net/10356/88783 http://hdl.handle.net/10220/44722 10.1214/17-EJP132 en Electronic Journal of Probability © 2018 The Author(s) (published by Bernouli Society and the Institute of Mathematical Statistics). This paper was published in Electronic Journal of Probability and is made available as an electronic reprint (preprint) with permission of Bernouli Society and the Institute of Mathematical Statistics. The published version is available at: [http://dx.doi.org/10.1214/17-EJP132]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 34 p. application/pdf
spellingShingle Independent Sequences
Uniform Distribution
Privault, Nicolas
Serafin, Grzegorz
Stein approximation for functionals of independent random sequences
title Stein approximation for functionals of independent random sequences
title_full Stein approximation for functionals of independent random sequences
title_fullStr Stein approximation for functionals of independent random sequences
title_full_unstemmed Stein approximation for functionals of independent random sequences
title_short Stein approximation for functionals of independent random sequences
title_sort stein approximation for functionals of independent random sequences
topic Independent Sequences
Uniform Distribution
url https://hdl.handle.net/10356/88783
http://hdl.handle.net/10220/44722
work_keys_str_mv AT privaultnicolas steinapproximationforfunctionalsofindependentrandomsequences
AT serafingrzegorz steinapproximationforfunctionalsofindependentrandomsequences