arXiv Analytics

Sign in

arXiv:1702.01143 [math.PR]AbstractReferencesReviewsResources

On the normal approximation for random fields via martingale methods

Magda Peligrad, Na Zhang

Published 2017-02-03Version 1

We prove a central limit theorem for strictly stationary random fields under a sharp projective condition. The assumption was introduced in the setting of random variables by Maxwell and Woodroofe. Our approach is based on new results for triangular arrays of martingale differences, which have interest in themselves. We provide as applications new results for linear random fields and nonlinear random fields of Volterra-type.

Related articles: Most relevant | Search more
arXiv:math/0509682 [math.PR] (Published 2005-09-29, updated 2006-09-25)
Central limit theorem for stationary linear processes
arXiv:0911.2905 [math.PR] (Published 2009-11-15)
A strictly stationary, "causal," 5-tuplewise independent counterexample to the central limit theorem
arXiv:0805.1198 [math.PR] (Published 2008-05-08)
Exactness of martingale approximation and the central limit theorem