Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study

Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study

Mathematical models are of fundamental importance in the understanding of complex population dynamics. For instance, they can be used to predict the population evolution starting from different initial conditions or to test how a system responds to external perturbations. For this analysis to be mea...

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Bibliographic Details
Main Authors:	Francesca eParise, John eLygeros, Jakob eRuess
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2015-06-01
Series:	Frontiers in Environmental Science
Subjects:	optimal control Stochastic population dynamics Moment equations Agricultural pests Bayesian parameter inference
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fenvs.2015.00042/full

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