Milan Stehlík and Martin Schlather’s contribution to the Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al.
Stehlík 与 Schlather 对《流形假设的统计探索》的评论
We congratulate the authors of Whiteley et al. (2025) for opening up a challenging world of exploration of the manifold hypothesis. We fully agree that principal component analysis (PCA) is one the most important tool data analysis that the underlying spectral representation needs generalization. An alternative to a purely statistical modelling is to try to include as much knowledge as possible into the generalization. Schlather and Reinbott (2021) suggest an algebraic…