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Part of the book series: Probability and Its Applications ((PIA))

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Abstract

The theme of Chap. 5 is to provide upper bounds in the L , or Kolmogorov distance, that can be applied when certain bounded couplings can be constructed between an auxiliary random variable \(\widetilde{W}\) and the variable W. Important cases considered include when the variable \(\widetilde{W}\) has the same distribution as W, or has the zero bias or size bias distribution of W. The bounds shown in this chapter are often interpretable, sometimes directly, as a distance between W and \(\widetilde{W}\), a small bound being a reflection of a small distance. The chapter concludes with the use of smoothing inequalities to obtain distances between W and the normal over general function classes, one special case being the derivation of Kolmogorov distance bounds when bounded size bias couplings exist.

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Correspondence to Larry Goldstein .

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© 2011 Springer-Verlag Berlin Heidelberg

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Chen, L.H.Y., Goldstein, L., Shao, QM. (2011). L by Bounded Couplings. In: Normal Approximation by Stein’s Method. Probability and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15007-4_5

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