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Set up a Bayesian linear regression model for efficient posterior sampling using the Hamiltonian Monte Carlo (HMC) sampler. The prior distribution of the coefficients is a multivariate t,
Apply the shorthand regARIMA(p,D,q) syntax to specify the regression model with ARMA errors.
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