When can a deterministic model of a population system reveal what will happen on average?

DOI10.1016/j.mbs.2013.01.006zbMath1279.92073OpenAlexW2081732339WikidataQ51266316 ScholiaQ51266316MaRDI QIDQ2434419

Leif Gustafsson, Mikael Sternad

Publication date: 5 February 2014

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2013.01.006

zbMATH Keywords

population modelssimulation methodologycomparison of modelsconsistent resultsPoisson simulationsunbiased results

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Population dynamics (general) (92D25)

Cites Work

• Efficient methods for studying stochastic disease and population dynamics
• Consistent micro, macro and state-based population modelling
• Comparison of deterministic and stochastic SIS and SIR models in discrete time
• Bringing consistency to simulation of population models -- Poisson simulation as a bridge between micro and macro simulation
• Modelling Biological Populations in Space and Time
• Analysis of recursive stochastic algorithms
• <tex>L_infty</tex>-stability criteria for interconnected systems using exponential weighting
• Poisson Simulation—A Method for Generating Stochastic Variations in Continuous System Simulation
• The Output of a Queuing System
• Networks of Waiting Lines
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