Tucker Tensor Regression and Neuroimaging Analysis

This article proposes a tensor regression model based on the more flexible Tucker decomposition, which allows different number of factors along each mode and compares the Tucker model with CP numerically on both simulated data and real magnetic resonance imaging data, and demonstrates its effectiveness in finite sample performance.