Parameter estimation is a fundamental aspect of statistical modeling, particularly for complex data structures such as bivariate distributions that capture dependencies between paired variables.

Models implemented in Bayesian software programs are becoming increasingly complicated, and the priors and model assumptions made in those programs are not always clear to the user. Analyses are often ...