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. |
Page url: http://www.texlips.net/yada/help/index.html?4_10.htm