Comparing Betas in Bayesian Linear Regression
If someone was interested in comparing betas across two separate models, is there any issue in using the following formula to determine that with Bayesian Linear Regression? Or is there perhaps a better way?
B=beta; se = standard error of beta.
z = (B1 - B2) / √(seB1^2 + seB2^2)