Leveraging joint sparsity in hierarchical Bayesian learning

Jan Glaubitz, Anne Gelb

We present a hierarchical Bayesian learning approach to infer jointly sparse parameter vectors from multiple measurement vectors. Our model uses separate conditionally Gaussian pri…