I always have wondered why is so common to give a Cauchy prior to the residual error (\sigma) in ODE models.
From the prior choice recommendations page, I know that a Cauchy distribution can be considered as a weak prior. However, why not give another weakly informative prior to \sigma? Is there a special consideration for this case?.
Thanks in advance!