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...
Guardado en:
Autor principal: | WenJun Zhang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
International Academy of Ecology and Environmental Sciences
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/27d6de58dea3408a9e7ab9878640f22e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Causality inference of linearly correlated variables: The statistical simulation and regression method
por: WenJun Zhang
Publicado: (2021) -
A statistical simulation method for causality inference of Boolean variables
por: WenJun Zhang
Publicado: (2021) -
Stability of Dependencies of Contingent Subgroups with Merged Groups: Vaccination Case Study
por: Tomas Macak
Publicado: (2021) -
Pseudoscientific Health Beliefs and the Perceived Frequency of Causal Relationships
por: Julie Y. L. Chow, et al.
Publicado: (2021) -
Optimal hyperparameter tuning of random forests for estimating causal treatment effects
por: Lateef Amusa, et al.
Publicado: (2021)