arXiv stat.ML
· Papers
Distance Profile Embedding for Independence and Conditional Independence Testing of Random Objects
arXiv:2607.28981v1 Announce Type: cross Abstract: Testing independence or conditional independence is fundamental to statistical inference, yet existing methods for non-Euclidean random objects often face a difficult trade-off between geometric flexibility and theoretical tractability. We introduce the Distance Profile