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 | |
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| Philips Research | |
| OCUPAI'22 - Online Conference to Unite Philips AI 2022 | |
| Organisation | Machine Learning |
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Turner, R., Grünwald, P., & Härmä, A. (2022). Safe Sequential Conditional Independence Tests for Discrete Variables. In Proceedings of the Online Conference to Unite Philips AI 2022. |
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