Abstract
In this paper we present a hierarchical Bayesian analysis for a predator–prey model applied to ecology considering the use of Markov Chain Monte Carlo methods. We consider the introduction of a random effect in the model and the presence of a covariate vector. An application to ecology is considered using a data set related to the plankton dynamics of lake Geneva for the year 1990. We also discuss some aspects of discrimination of the proposed models.
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Achcar, J.A., Mazucheli, J. & Coelho-Barros, E.A. Predator–prey models: an application for the plankton dynamics of lake Geneva. Environ Ecol Stat 18, 315–329 (2011). https://doi.org/10.1007/s10651-010-0134-z
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DOI: https://doi.org/10.1007/s10651-010-0134-z