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: | WenJun Zhang |
---|---|
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!
|
Ejemplares similares
-
A statistical simulation method for causality inference of Boolean variables
por: WenJun Zhang
Publicado: (2021) -
Causality inference of nominal variables: A statistical simulation method
por: WenJun Zhang
Publicado: (2021) -
A review of the Granger-causality fallacy
por: Mariusz Maziarz
Publicado: (2015) -
Application of Causal Inference to the Analysis of Occupant Thermal State and Energy Behavioral Intentions in Immersive Virtual Environments
por: Girish Rentala, et al.
Publicado: (2021) -
Effect of Nephrology Care on Mortality in Incident Dialysis Patients: A Population-Based Cohort Study
por: Cheng-Yin Chung, et al.
Publicado: (2021)