Summaries of the Bayesian estimation.
n_eff: final number of simulations used for the estimation; sd: standard deviation; s–m=sd/n_eff1/2; Rhat: potential scale reduction factor on split chains (at convergence, Rhat = 1). In bold letter the Bayesian estimates of θ for Frank and ρ for Gaussian copula, by quadratic loss function on left, by multi linear loss function on right. Non-Informative (NI) prior on top and Informative (I) prior on bottom.
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