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Under a high-dimensional vector autoregressive (VAR) model, we propose a way of efficiently estimating both the stationary graph structure between the nodal time series and their temporal dynamics.
The Inverse Gaussian Distribution: Theory, Methodology, and Applications , volume 95
Raj Chhikara · 1988
Earlier work this paper cites.
Graphical Models
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Earlier work this paper cites.
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