Woolman, Thomas and Pickard, John (2023) A Framework for Utilizing Permutational Multiple Analysis of Variance as a Precursor for Nonparametric Statistical Learning with Cyber Network Data. EAI Endorsed Transactions on Context-aware Systems and Applications.
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Abstract
INTRODUCTION: Although scientific hypothesis testing methodologies are well established, their application to falsifiable hypothesis testing for assessing causal relationships potentially identified by machine learning and artificial intelligence models is rare due to the primarily nonparametric sta
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 16:31 |
| Last Modified: | 11 Apr 2026 07:24 |
| URI: | http://eprints.eai.eu/id/eprint/44140 |
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