Description length guided nonlinear unified Granger causality analysis

Most Granger causality analysis (GCA) methods still remain a two-stage scheme guided by different mathematical theories; both can actually be viewed as the same generalized model selection issues. Adhering to Occam’s razor, we present a unified GCA (uGCA) based on the minimum description length prin...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Fei, Lin, Qiang, Zhao, Xiaohu, Hu, Zhenghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473308/
https://www.ncbi.nlm.nih.gov/pubmed/37781142
http://dx.doi.org/10.1162/netn_a_00316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473308/
https://www.ncbi.nlm.nih.gov/pubmed/37781142
http://dx.doi.org/10.1162/netn_a_00316

Ejemplares similares