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Strong Approximation Theorems for Independent Random Variables and Their Applications

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Author Info
Shao, Q. M.
Abstract

This paper provides an elementary way to establish the general strong approximation theorems for independent random variables by using two special results of Sakhanenko. Applications to the law of the iterated logarithm and the strong law of large numbers are discussed.

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Article provided by Elsevier in its journal Journal of Multivariate Analysis.

Volume (Year): 52 (1995)
Issue (Month): 1 (January)
Pages: 107-130
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Handle: RePEc:eee:jmvana:v:52:y:1995:i:1:p:107-130

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  1. Yoosoon Chang, 2000. "Bootstrap Unit Root Tests in Panels with Cross-Sectional Dependency," Econometric Society World Congress 2000 Contributed Papers 1585, Econometric Society. [Downloadable!]
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