A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system

A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system

Functional response estimation and population tracking in predator-prey systems are critical problems in ecology. In this paper we consider a stochastic predator-prey system with a Lotka-Volterra functional response and propose a particle filtering method for: (a) estimating the behavioral parameter...

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Bibliographic Details
Main Authors: Laura Martín-Fernández, Gianni Gilioli, Ettore Lanzarone, Joaquín Míguez, Sara Pasquali, Fabrizio Ruggeri, Diego P. Ruiz
Format: Article
Language:English
Published: AIMS Press 2013-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
state-space model
prey-predator system
parameter estimation
rao-blackwellized particle filter.
population tracking
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.573
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https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.573

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