Sanna Passino and Heard’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.
Sanna Passino 与 Heard 对《流形假说的统计探索》的讨论
We congratulate the authors on their excellent contribution and the thoughtful perspectives they brought to this topic. In this contribution, we focus on the assumption of independence between the latent variables Z1,…,Zn in the Latent Metric Space (LMS) model in Section 2. Data often arrive sequentially, leading to intrinsic row-wise dependencies between data matrices observed at T>1 time points, Yt=(Yi,j,t)1≤i≤n,1≤j≤p∈Rn×p,t=1,…,T. This scenario is commonly encountered…