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YADA Version 4.10

 

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Released on 25/04/2017:

Added Browser-based Help to the Help menu for computers running Windows.
The predictive likelihood estimation routines supports back- and nowcasts for the original data and marginalized predictive likelihoods if the historical data has a so called ragged edge.
The fixed blocking RWM posterior sampler with a normal or a Student-t proposal density is supported for DSGE and DSGE-VAR models.
The random blocking RWM posterior sampler with a normal or a Student-t proposal density is also supported for DSGE and DSGE-VAR models.

 

 


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