Title
A refined mean field approximation of synchronous discrete-time population models.
Abstract
Mean field approximation is a popular method to study the behaviour of stochastic models composed of a large number of interacting objects. When the objects are asynchronous, the mean field approximation of a population model can be expressed as an ordinary differential equation. When the objects are (clock-) synchronous the mean field approximation is a discrete time dynamical system. We focus on the latter.
Year
DOI
Venue
2018
10.1016/j.peva.2018.05.002
Performance Evaluation
Keywords
DocType
Volume
Mean field approximation,Discrete time population models,Accuracy of approximation
Journal
126
ISSN
Citations 
PageRank 
0166-5316
1
0.38
References 
Authors
14
3
Name
Order
Citations
PageRank
Nicolas Gast129624.35
Diego Latella21168113.42
Mieke Massink3109587.58