Search results for "Markov blanket"

showing 1 items of 1 documents

Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse

2021

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 G statistic as a sum of joint entropy terms, its computation is decomposed into easily reusable partial results with no change in the resulting value. This method greatly improves the efficiency of applications that perform a series of G-tests on permutations of the same features, such as feature selection and causal inference applications because this decomposition allows for an intensive reuse of these partial results. The efficiency of this method is demonstrated by implementing it as…

Markov blanketMarkov blanketComputer sciencecomputation reuseConditional mutual informationComputationSciencePhysicsQC1-999QGeneral Physics and AstronomyContext (language use)Feature selectionInformation theoryAstrophysicsJoint entropyArticleG-testQB460-466feature selectionCausal inferencecausal inferenceAlgorithminformation theoryEntropy
researchProduct