Hsin-Hsiung Huang

A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors With Mixed‐Type Responses: Applications to Neuroimaging Data Mining

High‐dimensional tensor‐valued predictors are now routine in neuroimaging and other data‐rich domains, yet few statistical frameworks can jointly analyze continuous, binary, and count outcomes while scaling to realistic image resolutions. We propose the Bayesian sparse Kronecker product decomposition (BSKPD), whi...