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Commonly used priors for Vector Autoregressions (VARs) induce shrinkage on the autoregressive coefficients. Introducing shrinkage on the error covariance matrix is sometimes done but, in the vast majority of cases, without considering the network structure of the shocks and by placing the prior...
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data through a regularised linear regression model with Spike-and-Slab prior on the parameters. The approach extends the …
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