This file implements a Bayesian VAR(p) with independent Normal-Wishart prior and a Gibbs Sampler to produce the forecasts. The forecasting procedure generates a sample point from each accepted parameter vector from the posterior distribution, unlike other methods.
|Maintainer||Gamaliel Lamboy <[email protected]>|
|Package repository||View on GitHub|
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