title: On simulating strongly-interacting, stochastic population models.
abstract: Simulating strongly-interacting biological populations over many orders-of-magnitude can be challenging even on fast modern computers. Here we describe a regime-switching technique that can speed up simulations from stochastic models by large factors, while retaining third-order accuracy at each time-step. We apply it to an elementary model of the immune response to an infectious organism.
authors: Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, 1100 Olive Way, 5th Floor, Seattle, WA 98101, USA. wick@sharp.org
authors: David
authors: D
authors: Wick
authors: Steven G
authors: SG
authors: Self
mesh_terms: D003198:Computer Simulation; D007239:Infections / Q000276:immunology / Q000382:microbiology; D018448:Models, Immunological; D011157:Population Dynamics; D013269:Stochastic Processes