Reconstruction of Complex Directional Networks with Group Lasso Nonlinear Conditional Granger Causality
Abstract Reconstruction of networks underlying complex systems is one of the most crucial problems in many areas of engineering and science. In this paper, rather than identifying parameters of complex systems governed by pre-defined models or taking some polynomial and rational functions as a prior...
Guardado en:
Autores principales: | Guanxue Yang, Lin Wang, Xiaofan Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/04e949b14d9b42538c8134e84850e944 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data
por: Axel Wismüller, et al.
Publicado: (2021) -
A review of the Granger-causality fallacy
por: Mariusz Maziarz
Publicado: (2015) -
Dynamic Bayesian Networks for Evaluation of Granger Causal Relationships in Climate Reanalyses
por: Dylan Harries, et al.
Publicado: (2021) -
Geopolitical tensions, opec news, and the oil price: A Granger causality analysis
por: Fernandois,Antonio, et al.
Publicado: (2020) -
A Granger Causal Analysis of Tax-Spend Hypothesis: Evidence from Malaysia
por: Khan Hanana, et al.
Publicado: (2021)