# Calibrating LASSO prior (how to select the scale hyperparameter)?

I want to use a LASSO prior (Laplace prior) for a location parameter $$\mu$$

$$\pi(\mu \mid s) = \dfrac{1}{2s}\exp\left(-\frac{\vert \mu \vert}{s}\right).$$ However, I do not know to calibrate this prior.

This is, how can I select the hyperparameter $$s$$?

Are there any general Bayesian criteria to make this selection?