Cargando…
Dynamic maximum entropy provides accurate approximation of structured population dynamics
Realistic models of biological processes typically involve interacting components on multiple scales, driven by changing environment and inherent stochasticity. Such models are often analytically and numerically intractable. We revisit a dynamic maximum entropy method that combines a static maximum...
Autores principales: | Bod’ová, Katarína, Szép, Enikő, Barton, Nicholas H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668141/ https://www.ncbi.nlm.nih.gov/pubmed/34851948 http://dx.doi.org/10.1371/journal.pcbi.1009661 |
Ejemplares similares
-
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning
por: Granziol, Diego, et al.
Publicado: (2019) -
Dynamic Maximum Entropy Reduction
por: Klika, Václav, et al.
Publicado: (2019) -
Accurate approximation in weighted maximum norm by interpolation
por: Melinder, Ingrid
Publicado: (1976) -
Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis
por: Xu, Zhi-Qin John, et al.
Publicado: (2019) -
Probabilistic models of individual and collective animal behavior
por: Bod’ová, Katarína, et al.
Publicado: (2018)