Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse
This article presents a novel and remarkably efficient method of computing the statistical G-test made possible by exploiting a connection with the fundamental elements of information theory: by writing the <i>G</i> statistic as a sum of joint entropy terms, its computation is decomposed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/23/11/1501 |