We develop a Gaussian approximation result for the maximum of a sum of weakly dependent vectors, where the data dimension is allowed to be exponentially larger than sample size. Our result is established under the physical/functional dependence framework. This work can be viewed as a substantive extension of Chernozhukov et al. (Ann. Statist. 41 (2013) 2786–2819) to time series based on a variant of Stein’s method developed therein.
"Gaussian approximation for high dimensional vector under physical dependence." Bernoulli 24 (4A) 2640 - 2675, November 2018. https://doi.org/10.3150/17-BEJ939