Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908324693278720 |
|---|---|
| author | Ryu, Howon Maullin-Sapey, Thomas Schwartzman, Armin Davenport, Samuel |
| author_facet | Ryu, Howon Maullin-Sapey, Thomas Schwartzman, Armin Davenport, Samuel |
| contents | Identifying areas where the signal is prominent is an important task in image analysis, with particular applications in brain mapping. In this work, we develop confidence regions for spatial excursion sets above and below a given level. We achieve this by treating the confidence procedure as a testing problem at the given level, allowing control of the False Discovery Rate (FDR). Methods are developed to control the FDR, separately for positive and negative excursions, as well as jointly over both. Furthermore, power is increased by incorporating a two-stage adaptive procedure. Simulation results with various signals show that our confidence regions successfully control the FDR under the nominal level. We showcase our methods with an application to functional magnetic resonance imaging (fMRI) data from the Human Connectome Project illustrating the improvement in statistical power over existing approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13124 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control Ryu, Howon Maullin-Sapey, Thomas Schwartzman, Armin Davenport, Samuel Methodology Statistics Theory Identifying areas where the signal is prominent is an important task in image analysis, with particular applications in brain mapping. In this work, we develop confidence regions for spatial excursion sets above and below a given level. We achieve this by treating the confidence procedure as a testing problem at the given level, allowing control of the False Discovery Rate (FDR). Methods are developed to control the FDR, separately for positive and negative excursions, as well as jointly over both. Furthermore, power is increased by incorporating a two-stage adaptive procedure. Simulation results with various signals show that our confidence regions successfully control the FDR under the nominal level. We showcase our methods with an application to functional magnetic resonance imaging (fMRI) data from the Human Connectome Project illustrating the improvement in statistical power over existing approaches. |
| title | Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control |
| topic | Methodology Statistics Theory |
| url | https://arxiv.org/abs/2504.13124 |