2 papers
stat.ME2026
Bayesian Tensor Regression for Neuroimaging Data
Zahra Naji, Montserrat Fuentes, Liangsuo Ma +1
Multidimensional array data, or tensors, arise naturally in neuroimaging and other high-dimensional applications. We propose a parsimonious Bayesian tensor regression model for stu…
stat.ME2017
New Parsimonious Multivariate Spatial Model: Spatial Envelope
Hossein Moradi Rekabdarkolaee, Qin Wang, Zahra Naji +1
Dimension reduction provides a useful tool for analyzing high dimensional data. The recently developed \textit{Envelope} method is a parsimonious version of the classical multivari…