High-dimensional functional time series: A selective review

In this paper, we provide a selective review of recent advances in high-dimensional functional time series. Both the number of functional processes and time series length are allowed to diverge to infinity. The following four topics are covered: high-dimensional functional regression and autoregression models, high-dimensional functional factor models, high-dimensional functional covariance matrix estimation, and high-dimensional nonstationary functional time series models.