Causality inference of nominal variables: A statistical simulation method

In present study I proposed a statistical simulation method for causality inference of nominal variables (i.e., categorical variables). A new correlation measure for nominal variables, association coefficient, is firstly proposed also. A statistical simulation method was developed to generate artifi...

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Autor principal:	WenJun Zhang
Formato:	article
Lenguaje:	EN
Publicado:	International Academy of Ecology and Environmental Sciences 2021
Materias:	causality inference correlation nominal variables contingency association randomization statistical simulation independent variable machine learning artitificial intelligence Technology (General) T1-995 Science Q
Acceso en línea:	https://doaj.org/article/27d6de58dea3408a9e7ab9878640f22e
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id	oai:doaj.org-article:27d6de58dea3408a9e7ab9878640f22e
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spelling	oai:doaj.org-article:27d6de58dea3408a9e7ab9878640f22e2021-11-17T03:08:42ZCausality inference of nominal variables: A statistical simulation method2220-721Xhttps://doaj.org/article/27d6de58dea3408a9e7ab9878640f22e2021-12-01T00:00:00Zhttp://www.iaees.org/publications/journals/ces/articles/2021-11(4)/causality-inference-of-nominal-variables-with-statistical-simulation-method.pdfhttps://doaj.org/toc/2220-721XIn present study I proposed a statistical simulation method for causality inference of nominal variables (i.e., categorical variables). A new correlation measure for nominal variables, association coefficient, is firstly proposed also. A statistical simulation method was developed to generate artificial data of nominal variables with known causality. The law was then drawn from the simulation analysis of the artificial data. For a set of data of two nominal variables, the randomization method was first used to test the statistical significance of the nominal correlation measure, and then the statistical simulation was used to determine the causality and its statistic significance of two nominal variables. Full Matlab codes of the method were presented.WenJun ZhangInternational Academy of Ecology and Environmental Sciencesarticlecausalityinferencecorrelationnominal variablescontingencyassociationrandomizationstatistical simulationindependent variablemachine learningartitificial intelligenceTechnology (General)T1-995ScienceQENComputational Ecology and Software, Vol 11, Iss 4, Pp 142-153 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	causality inference correlation nominal variables contingency association randomization statistical simulation independent variable machine learning artitificial intelligence Technology (General) T1-995 Science Q
spellingShingle	causality inference correlation nominal variables contingency association randomization statistical simulation independent variable machine learning artitificial intelligence Technology (General) T1-995 Science Q WenJun Zhang Causality inference of nominal variables: A statistical simulation method
description	In present study I proposed a statistical simulation method for causality inference of nominal variables (i.e., categorical variables). A new correlation measure for nominal variables, association coefficient, is firstly proposed also. A statistical simulation method was developed to generate artificial data of nominal variables with known causality. The law was then drawn from the simulation analysis of the artificial data. For a set of data of two nominal variables, the randomization method was first used to test the statistical significance of the nominal correlation measure, and then the statistical simulation was used to determine the causality and its statistic significance of two nominal variables. Full Matlab codes of the method were presented.
format	article
author	WenJun Zhang
author_facet	WenJun Zhang
author_sort	WenJun Zhang
title	Causality inference of nominal variables: A statistical simulation method
title_short	Causality inference of nominal variables: A statistical simulation method
title_full	Causality inference of nominal variables: A statistical simulation method
title_fullStr	Causality inference of nominal variables: A statistical simulation method
title_full_unstemmed	Causality inference of nominal variables: A statistical simulation method
title_sort	causality inference of nominal variables: a statistical simulation method
publisher	International Academy of Ecology and Environmental Sciences
publishDate	2021
url	https://doaj.org/article/27d6de58dea3408a9e7ab9878640f22e
work_keys_str_mv	AT wenjunzhang causalityinferenceofnominalvariablesastatisticalsimulationmethod
_version_	1718425977543983104

Causality inference of nominal variables: A statistical simulation method

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