On the normal approximation for random fields via martingale methods

Abstract

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.

15 pages, Stoch. Proc. Appl. Available online 3 August 2017

References in corpus (1)

• A new maximal inequality and invariance principle for stationary sequences

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