The study considers a vector autoregressive model for high-dimensional mixed fre- quency data, where selective time series are collected at different frequencies. The high-frequency series are expanded and modeled as multiple time series to match the …
The joint estimation of multiple graphical models from high-dimensional data has been studied in the statistics and machine learning literature, owing to its importance in diverse fields including molecular biology, neuroscience, and the social …