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 …
Vector autoregressive (VAR) models aim to capture linear temporal interdependencies among multiple time series. They have been widely used in macroeconomics and financial econometrics and more recently have found novel applications in functional …