Approximate Hypothesis Testing
We establish the sample complexity of Approximate Hypothesis Testing (AHT): Unlike in classical hypothesis testing, here we are only required to approximate the sample-generating distribution rather than determine it exactly.On finite hypothesis classes, we establish that the AHT sample complexity scales inversely with the multivariate Bhattacharyya distance (3) evaluated on a set of distributions considered to be the "most confusable" w.r.t. the desired approximation accuracy.
Authors
- Nicolas Le Gouic
- Robert Graczyk
- Stefan Moser
Institutions
- ETH Zurich (CH)
- RhySearch (Switzerland) (CH)
- Institut Polytechnique de Paris (FR)
- Laboratoire Traitement et Communication de l’Information (FR)
Publication Details
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1109/itw62417.2025.11240528
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00