Estimation of temporal BF support in Discrete phylogeo analysis

[Sikandar Azam]

Hi everyone,

I am conducting a discrete phylogeographic analysis in BEAST with 8 geo locations over approx 10 years. 

From my previous experience, i understand that Bayes Factor provides statistical support for migration pathways between locations (loc A to loc B) across the entire time period, while Markov Jump history can be used to estimate the number of inferred transition between locations ( where and when transition occured).

My question is

whether it is possible to obtain temporal Bayes factor support for a migration pathway for each individual year /time period.

in other words Is there a way to use posterior output or markov jump histories to drive year-specific migration support? or is Bf inherently an over all parameter that cannot be partitioned by time?

If a year-specific BF cannot be obtained from a single analysis, would the appropriate approach be to perform separate discrete analysis for each year(which would be time consuming) or is there another recommended approach for estimating temporal BF support for migration pathways.

would appreciate any advice or how to deal with this question.