You have a lot of totally unconstrained parameters because there is no data that can constrain them (logA, ns..).
Your proposal width for e.g. logA is tiny 0.001, much smaller than the prior, so it will take a very long time to explore the entire unconstrained prior range. Normally if you have proposal learning on, that would be corrected over time.
Your proposal width for e.g. logA is tiny 0.001, much smaller than the prior, so it will take a very long time to explore the entire unconstrained prior range. Normally if you have proposal learning on, that would be corrected over time.
Statistics: Posted by Antony Lewis — August 22 2024