Causality inference of linearly correlated variables: The statistical simulation and regression method
Causality inference of variables is a research focus in science. Due to its importance, a statistical simulation and regression method for causality inference of linearly correlated (scale or interval) variables was proposed in present study. First, a statistical simulation and regression method was...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
International Academy of Ecology and Environmental Sciences
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/9f521e1290b3474588878b5027540e89 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:9f521e1290b3474588878b5027540e89 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:9f521e1290b3474588878b5027540e892021-11-17T03:12:14ZCausality inference of linearly correlated variables: The statistical simulation and regression method2220-721Xhttps://doaj.org/article/9f521e1290b3474588878b5027540e892021-12-01T00:00:00Zhttp://www.iaees.org/publications/journals/ces/articles/2021-11(4)/causality-inference-of-linearly-correlated-variables.pdfhttps://doaj.org/toc/2220-721XCausality inference of variables is a research focus in science. Due to its importance, a statistical simulation and regression method for causality inference of linearly correlated (scale or interval) variables was proposed in present study. First, a statistical simulation and regression method was developed to generate and analyze artificial data of linear correlated variables with known causality. The rule was drawn from the simulation and regression analysis on artificial data. Finally, causality inference of two linearly correlated variables was conducted based on the rule. Full Matlab codes of the method were presented.WenJun ZhangInternational Academy of Ecology and Environmental Sciencesarticlecausalityinferencelinear dependencylinear modelscale or interval variablespearson correlationstatistical simulationlinear regressionindependent variablemachine learningartitificial intelligencecausalcausal inferenceTechnology (General)T1-995ScienceQENComputational Ecology and Software, Vol 11, Iss 4, Pp 154-161 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
causality inference linear dependency linear model scale or interval variables pearson correlation statistical simulation linear regression independent variable machine learning artitificial intelligence causal causal inference Technology (General) T1-995 Science Q |
| spellingShingle |
causality inference linear dependency linear model scale or interval variables pearson correlation statistical simulation linear regression independent variable machine learning artitificial intelligence causal causal inference Technology (General) T1-995 Science Q WenJun Zhang Causality inference of linearly correlated variables: The statistical simulation and regression method |
| description |
Causality inference of variables is a research focus in science. Due to its importance, a statistical simulation and regression method for causality inference of linearly correlated (scale or interval) variables was proposed in present study. First, a statistical simulation and regression method was developed to generate and analyze artificial data of linear correlated variables with known causality. The rule was drawn from the simulation and regression analysis on artificial data. Finally, causality inference of two linearly correlated variables was conducted based on the rule. 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 linearly correlated variables: The statistical simulation and regression method |
| title_short |
Causality inference of linearly correlated variables: The statistical simulation and regression method |
| title_full |
Causality inference of linearly correlated variables: The statistical simulation and regression method |
| title_fullStr |
Causality inference of linearly correlated variables: The statistical simulation and regression method |
| title_full_unstemmed |
Causality inference of linearly correlated variables: The statistical simulation and regression method |
| title_sort |
causality inference of linearly correlated variables: the statistical simulation and regression method |
| publisher |
International Academy of Ecology and Environmental Sciences |
| publishDate |
2021 |
| url |
https://doaj.org/article/9f521e1290b3474588878b5027540e89 |
| work_keys_str_mv |
AT wenjunzhang causalityinferenceoflinearlycorrelatedvariablesthestatisticalsimulationandregressionmethod |
| _version_ |
1718426005344878592 |