Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling

Daniel Spencer, Rajarshi Guhaniyogi, Russell Shinohara +1

Modeling with multidimensional arrays, or tensors, often presents a problem due to high dimensionality. In addition, these structures typically exhibit inherent sparsity, requiring…