Parameter inference for an individual based model of chytridiomycosis in frogs
Authored by Leah R. Johnson, Cheryl J. Briggs
Date Published: 2011-05-21
DOI: 10.1016/j.jtbi.2011.02.010
Sponsors:
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Individual based models (IBMs) and Agent based models (ABMs) have become widely used tools to understand complex biological systems. However, general methods of parameter inference for IBMs are not available. In this paper we show that it is possible to address this problem with a traditional likelihood-based approach, using an example of an IBM developed to describe the spread of chytridiomycosis in a population of frogs as a case study. We show that if the IBM satisfies certain criteria we can find the likelihood (or posterior) analytically, and use standard computational techniques, such as MCMC, for parameter inference. (C) 2011 Elsevier Ltd. All rights reserved.
Tags
Agent based model
Uncertainty
individual based model
growth
Bayesian inference
Chytridiomycosis
Parameter inference
Dynamical-systems
Ecological theory
State-space models
Wild animal populations
Pathogen batrachochytrium-dendrobatidis
Emerging
infectious-disease
Amphibian pathogen
Chytrid fungus