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...
Main Author: | |
---|---|
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 |
_version_ | 1818822646918283264 |
---|---|
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. |
first_indexed | 2024-12-18T23:27:24Z |
format | Article |
id | doaj.art-27d6de58dea3408a9e7ab9878640f22e |
institution | Directory Open Access Journal |
issn | 2220-721X |
language | English |
last_indexed | 2024-12-18T23:27:24Z |
publishDate | 2021-12-01 |
publisher | International Academy of Ecology and Environmental Sciences |
record_format | Article |
series | Computational Ecology and Software |
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 |