Parameter inference for an individual based model of chytridiomycosis in frogs

JOURNAL OF THEORETICAL BIOLOGY

卷:277

Article

Johnson, Leah R.¹  Briggs, Cheryl J.¹ 

[1] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA

关键词: Chytridiomycosis;    Individual based model;    Agent based model;    Parameter inference;    Bayesian inference;   

DOI  :  10.1016/j.jtbi.2011.02.010

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free