On simulating strongly-interacting, stochastic population models.

DOI10.1016/j.mbs.2003.09.001zbMath1038.92023OpenAlexW2060504015WikidataQ79278489 ScholiaQ79278489MaRDI QIDQ1418223

Steven G. Self, David Wick

Publication date: 19 January 2004

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2003.09.001

zbMATH Keywords

InteractionSimulationImmune systemJump processInfection in vivoPopulation model

Mathematics Subject Classification ID

Stochastic systems and control (93E99) Probabilistic models, generic numerical methods in probability and statistics (65C20) Medical applications (general) (92C50) Physiology (general) (92C30) General biology and biomathematics (92B05)

Related Items

On simulating strongly interacting, stochastic population models. II: Multiple compartments

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A survey of numerical methods for stochastic differential equations
• Random environments and stochastic calculus
• Stochastic population models. A compartmental perspective
• Early HIV infection in vivo: branching-process model for studying timing of immune reponses and drug therapy
• On \(T\)-cell dynamics and the hyperactivation theory of AIDS pathogenesis
• A stochastic model for predator-prey systems: basic properties, stability and computer simulation
• Interactions between species: Some comparisons between deterministic and stochastic models
• A Method of Second-Order Accuracy Integration of Stochastic Differential Equations
• A stochastic model for two interacting populations
• On stochastic differential equations
• Partial differential equations