Normal approximations by Stein's method

Yosef Rinott, Vladimir Rotar

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Stein's method for normal approximations is explained, with some examples and applications. In the study of the asymptotic distribution of the sum of dependent random variables, Stein's method may be a very useful tool. We have attempted to write an elementary introduction. For more advanced introductions to Stein's method, see Stein (1986), Barbour (1997) and Chen (1998).

Original languageEnglish
Pages (from-to)15-29
Number of pages15
JournalDecisions in Economics and Finance
Volume23
Issue number1
DOIs
StatePublished - 2000

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