Sparse and Smooth Prior for Bayesian Linear Regression with Application to ETEX Data

Lukas Ulrych, Vaclav Smidl

Sparsity of the solution of a linear regression model is a common requirement, and many prior distributions have been designed for this purpose. A combination of the sparsity requi…