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There is a one-to-one mapping between the conventional time series parameters of a third-order autoregression and the more interpretable parameters of secular half-life, cyclical half-life and cycle period. The latter parameterization is better suited to interpretation of results using both...
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recently developed approach for partitioning the nodes of a network (graph). A network with N nodes is associated to the set of … context of financial time series. Then, searching for network communities allows one to identify groups of nodes (and then …
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of latent stochastic network effects. The parameter-driven, nonlinear state-space model requires simulation …We propose the dynamic network effect (DNE) model for the study of high-dimensional multivariate time series data … simulation study, we demonstrate the SMPF's good performance relative to benchmarks, particularly when the cross …
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In this paper, we study the time-varying network vector autoregression (TV-NVAR) model. Constituting an ultra …
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