A statistical simulation method for causality inference of Boolean variables

In present study, a statistical simulation method for causality inference of Boolean variables was proposed. First, I used statistical simulation to generate artificial data of two Boolean variables with known independent and dependent variables. A law was drawn from the simulation analysis of the a...

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Main Author:	WenJun Zhang
Format:	article
Language:	EN
Published:	International Academy of Ecology and Environmental Sciences 2021
Subjects:	causality inference correlation point correlation jaccard boolean variables randomization statistical simulation machine learning artificial intelligence independent variable causal inference Biology (General) QH301-705.5
Online Access:	https://doaj.org/article/8b6fe77a115f49c19b5a03dd3554c5c6
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id	oai:doaj.org-article:8b6fe77a115f49c19b5a03dd3554c5c6
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spelling	oai:doaj.org-article:8b6fe77a115f49c19b5a03dd3554c5c62021-11-17T03:21:54ZA statistical simulation method for causality inference of Boolean variables2220-8879https://doaj.org/article/8b6fe77a115f49c19b5a03dd3554c5c62021-12-01T00:00:00Zhttp://www.iaees.org/publications/journals/nb/articles/2021-11(4)/a-method-for-causality-inference-of-Boolean-variables.pdfhttps://doaj.org/toc/2220-8879In present study, a statistical simulation method for causality inference of Boolean variables was proposed. First, I used statistical simulation to generate artificial data of two Boolean variables with known independent and dependent variables. A law was drawn from the simulation analysis of the artificial data. For a set of data of two Boolean variables, a randomization method was proposed and used to test the statistical significance of the Boolean correlation measure (point correlation, quartile correlation, or Jaccard correlation, etc.). The causality inference was then conducted to observed data based on the law. Finally, the statistical simulation was used to determine the statistic significance of the causality. Full Matlab codes were presented also.WenJun ZhangInternational Academy of Ecology and Environmental Sciencesarticlecausalityinferencecorrelationpoint correlationjaccardboolean variablesrandomizationstatistical simulationmachine learningartificial intelligenceindependent variablecausal inferenceBiology (General)QH301-705.5ENNetwork Biology, Vol 11, Iss 4, Pp 263-273 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	causality inference correlation point correlation jaccard boolean variables randomization statistical simulation machine learning artificial intelligence independent variable causal inference Biology (General) QH301-705.5
spellingShingle	causality inference correlation point correlation jaccard boolean variables randomization statistical simulation machine learning artificial intelligence independent variable causal inference Biology (General) QH301-705.5 WenJun Zhang A statistical simulation method for causality inference of Boolean variables
description	In present study, a statistical simulation method for causality inference of Boolean variables was proposed. First, I used statistical simulation to generate artificial data of two Boolean variables with known independent and dependent variables. A law was drawn from the simulation analysis of the artificial data. For a set of data of two Boolean variables, a randomization method was proposed and used to test the statistical significance of the Boolean correlation measure (point correlation, quartile correlation, or Jaccard correlation, etc.). The causality inference was then conducted to observed data based on the law. Finally, the statistical simulation was used to determine the statistic significance of the causality. Full Matlab codes were presented also.
format	article
author	WenJun Zhang
author_facet	WenJun Zhang
author_sort	WenJun Zhang
title	A statistical simulation method for causality inference of Boolean variables
title_short	A statistical simulation method for causality inference of Boolean variables
title_full	A statistical simulation method for causality inference of Boolean variables
title_fullStr	A statistical simulation method for causality inference of Boolean variables
title_full_unstemmed	A statistical simulation method for causality inference of Boolean variables
title_sort	statistical simulation method for causality inference of boolean variables
publisher	International Academy of Ecology and Environmental Sciences
publishDate	2021
url	https://doaj.org/article/8b6fe77a115f49c19b5a03dd3554c5c6
work_keys_str_mv	AT wenjunzhang astatisticalsimulationmethodforcausalityinferenceofbooleanvariables AT wenjunzhang statisticalsimulationmethodforcausalityinferenceofbooleanvariables
_version_	1718425998870970368

A statistical simulation method for causality inference of Boolean variables

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