What could possibly be the reason for getting really low ESS when a discrete trait (location) is added to the BEAST analysis?

Harindra Sathkumara @Harindra-Sathkumara

20 September 2015 1 9K Report

I was trying to do Bayesian analysis on some of my sequence data using BEAST 1.7.5 to see how closely related they are and their migration patterns.

The substitution model used was GTR+I+G (strict molecular clock). I did 10 million iterations primarily to have a better ESS thus a rich posterior probability. Well it worked fine and for each run, I had ESS

Harindra Sathkumara

Hi Santiago,

Pretty much everything has a low ESS, not just posterior. It's just one discrete trait (locations) and total 65 sequences.

What could possibly be the reason to fail the analysis? Lack of sequence and location data throughout the timeline to support the migration patterns?

Thanks

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