Casewise and Cellwise Robust Tensor-on-Tensor Regression
ROTOT is a robust method for predicting response tensors from predictor tensors in tensor regression. It handles both casewise and cellwise outliers, along with missing values, using a single loss function that reduces their influence. This allows for reliable prediction even when the data contains contaminants.