Estimating Parameters From Multiple Time Series of Population Dynamics Using Bayesian Inference

Estimating Parameters From Multiple Time Series of Population Dynamics Using Bayesian Inference

Empirical time series of interacting entities, e.g., species abundances, are highly useful to study ecological mechanisms. Mathematical models are valuable tools to further elucidate those mechanisms and underlying processes. However, obtaining an agreement between model predictions and experimental...

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Bibliographic Details
Main Authors: Benjamin Rosenbaum, Michael Raatz, Guntram Weithoff, Gregor F. Fussmann, Ursula Gaedke
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Ecology and Evolution
Subjects:
Bayesian inference
chemostat experiments
ordinary differential equation
parameter estimation
population dynamics
predator prey
Online Access:https://www.frontiersin.org/article/10.3389/fevo.2018.00234/full

Internet

https://www.frontiersin.org/article/10.3389/fevo.2018.00234/full

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