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, based on their historical data. We first use the Akaike information criterion (AIC) and Bayesian information criterion (BIC …
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This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the …
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approach using a Bayesian MS-VAR which is net of these arbitrary components. This method allows for the consistent …
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Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...
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