Does BUGS have any optimizations for purely forward sampling, where straight
MC instead of MCMC can be used? In other words, if I have a model where all
the data nodes (if any) are root nodes, can BUGS take advantage of this
structure? The application I have in mind is in making predictions /
forecasts after having inferred posterior distributions for model
parameters... or just using it as an inexpensive alternative to more expensive
uncertainty-management tools such as Lumina's Analytica.
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