2022-06-21
Safe Sequential Conditional Independence Tests for Discrete Variables
Publication
Publication
Presented at the
OCUPAI'22 - Online Conference to Unite Philips AI 2022 (June 2022), Online
We present tests for conditional independence of discrete variables that can be applied in a sequential setting with Type-I error probability guarantee. Power of these tests can be improved by incorporating hypothesized effect size or by sharing information between strata. Both scenarios are illustrated through simulations.
Additional Metadata | |
---|---|
Philips Research | |
OCUPAI'22 - Online Conference to Unite Philips AI 2022 | |
Organisation | Machine Learning |
Turner, R.J, Grünwald, P.D, & Härmä, A. (2022). Safe Sequential Conditional Independence Tests for Discrete Variables. In Proceedings of the Online Conference to Unite Philips AI 2022.
|