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Convergence generally means that a sequence of a certain sample quantity approaches a constant as the sample size tends to infinity. Convergence is also a property of an iterative algorithm to stabilize on some aim value.

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Can I be sure about the parameter's SIGN if the convergence is problematic?

The question is: Can I be sure that in the true model the parameter is positive, regardless of the low convergence? … I realise that low convergence might point to the fact that not all the possible parameter space has been explored and thus parameters can be in fact negative, but doesn't consistency across 8 chains and …
Macky Mincer's user avatar