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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Main Author: WenJun Zhang
Format: Article
Language:English
Published: International Academy of Ecology and Environmental Sciences 2021-12-01
Series:Computational Ecology and Software
Subjects:
Online Access:http://www.iaees.org/publications/journals/ces/articles/2021-11(4)/causality-inference-of-nominal-variables-with-statistical-simulation-method.pdf
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author WenJun Zhang
author_facet WenJun Zhang
author_sort WenJun Zhang
collection DOAJ
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.
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spelling doaj.art-27d6de58dea3408a9e7ab9878640f22e2022-12-21T20:47:44ZengInternational Academy of Ecology and Environmental SciencesComputational Ecology and Software2220-721X2021-12-01114142153Causality inference of nominal variables: A statistical simulation methodWenJun Zhang0School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, ChinaIn 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.http://www.iaees.org/publications/journals/ces/articles/2021-11(4)/causality-inference-of-nominal-variables-with-statistical-simulation-method.pdfcausalityinferencecorrelationnominal variablescontingencyassociationrandomizationstatistical simulationindependent variablemachine learningartitificial intelligence
spellingShingle WenJun Zhang
Causality inference of nominal variables: A statistical simulation method
Computational Ecology and Software
causality
inference
correlation
nominal variables
contingency
association
randomization
statistical simulation
independent variable
machine learning
artitificial intelligence
title 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_short Causality inference of nominal variables: A statistical simulation method
title_sort causality inference of nominal variables a statistical simulation method
topic causality
inference
correlation
nominal variables
contingency
association
randomization
statistical simulation
independent variable
machine learning
artitificial intelligence
url http://www.iaees.org/publications/journals/ces/articles/2021-11(4)/causality-inference-of-nominal-variables-with-statistical-simulation-method.pdf
work_keys_str_mv AT wenjunzhang causalityinferenceofnominalvariablesastatisticalsimulationmethod