Time Series Data and Its Application

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models

We study the problem of detecting and locating change points in high-dimensional Vector Autoregressive (VAR) models, whose transition matrices exhibit low rank plus sparse structure. We first address the problem of detecting a single change point …