Abstract
We discuss the problem of testing hypotheses on functional data defined on manifold domain. Aim of this work is to test hypotheses locally, i.e., to provide a p-value function (p) over tilde (s) that can be used to test a null hypothesis against an alternative one on every point of the manifold. In the following we present three methods to do so: an adjusted e-value function controlling the functional false discovery rate; an adjusted p-value function controlling the ball-wise error rate; an adjusted e-value function that is ball-wise e-valid.
| Original language | English |
|---|---|
| Title of host publication | New Trends in Functional Statistics and Related Fields |
| Publisher | Springer International Publishing AG |
| Pages | 319-325 |
| Number of pages | 7 |
| ISBN (Print) | 9783031923821 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- manifold
- local testing
- functional data analysis
- nonparametric test
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