Cargando…
Bayesian Inference of Natural Rankings in Incomplete Competition Networks
Competition between a complex system's constituents and a corresponding reward mechanism based on it have profound influence on the functioning, stability, and evolution of the system. But determining the dominance hierarchy or ranking among the constituent parts from the strongest to the weake...
Autores principales: | Park, Juyong, Yook, Soon-Hyung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147370/ https://www.ncbi.nlm.nih.gov/pubmed/25163528 http://dx.doi.org/10.1038/srep06212 |
Ejemplares similares
-
Bayesian inference for low-rank Ising networks
por: Marsman, Maarten, et al.
Publicado: (2015) -
Quantifying Discrepancies in Opinion Spectra from Online and Offline Networks
por: Lee, Deokjae, et al.
Publicado: (2015) -
Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference
por: Vitelli, Valeria, et al.
Publicado: (2023) -
Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy
por: Khalvati, Koosha, et al.
Publicado: (2021) -
Bayesian inference of transition matrices from incomplete graph data with a topological prior
por: Perri, Vincenzo, et al.
Publicado: (2023)