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.

Local Null Hypothesis Significance Testing on Riemaniann Manifolds

Pini, Alessia;Vantini, Simone
2025-01-01

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.
2025
New Trends in Functional Statistics and Related Fields
9783031923821
9783031923838
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1310050
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