  In this note we derive a simple Bayesian sampler for linear regression with
the horseshoe hierarchy. A new interpretation of the horseshoe model is
presented, and extensions to logistic regression and alternative hierarchies,
such as horseshoe$+$, are discussed. Due to the conjugacy of the proposed
hierarchy, Chib's algorithm may be used to easily compute the marginal
likelihood of the model.
