Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...
The statistical analysis of high-dimensional longitudinal data presents formidable challenges, primarily due to the dual complexity of managing intricate within-subject correlation patterns and ...