Cargando…
Continuity Scaling: A Rigorous Framework for Detecting and Quantifying Causality Accurately
Data-based detection and quantification of causation in complex, nonlinear dynamical systems is of paramount importance to science, engineering, and beyond. Inspired by the widely used methodology in recent years, the cross-map-based techniques, we develop a general framework to advance towards a co...
Autores principales: | Ying, Xiong, Leng, Si-Yang, Ma, Huan-Fei, Nie, Qing, Lai, Ying-Cheng, Lin, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101326/ https://www.ncbi.nlm.nih.gov/pubmed/35600089 http://dx.doi.org/10.34133/2022/9870149 |
Ejemplares similares
-
Toward Enhancing the Rigor of Causal-Inference Studies
por: Karp, Igor
Publicado: (2019) -
Framework for advancing rigorous research
por: Koroshetz, Walter J, et al.
Publicado: (2020) -
Rigorous global search continuous problems
por: Kearfott, R Baker
Publicado: (1996) -
Accurate and Rigorous Prediction of the Changes in Protein Free Energies in a Large‐Scale Mutation Scan
por: Gapsys, Vytautas, et al.
Publicado: (2016) -
Getting rigorous with scientific rigor
por: Hofseth, Lorne J
Publicado: (2018)