Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget
Many two-sample tests for populations of persistence diagrams assess global differences without identifying the regions of the birth-death plane that contribute to them. We study simultaneous inference for local mean contrasts when the number of available diagrams is fixed. They are differences in expected weighted feature mass within $\ell_\infty$ neighborhoods at several centers and radii. We estimate these contrasts using additive landmark responses. A Gaussian multiplier bootstrap calibrates simultaneous confidence intervals while allowing unequal group covariances. The neighborhoods whose intervals exclude zero form a map with approximate family-wise error control, and selecting a su...
| Authors | Pramita Bagchi, Edward Bae, Atish Mitra et al. |
|---|---|
| Primary category | stat.ME |
| Published | 6 October 2026 |
| Last updated at source | 6 October 2026 |
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