Accounting for sampling error when inferring population synchrony from time-series data: a Bayesian state-space modelling approach with applications.

Accounting for sampling error when inferring population synchrony from time-series data: a Bayesian state-space modelling approach with applications.

<h4>Background</h4>Data collected to inform time variations in natural population size are tainted by sampling error. Ignoring sampling error in population dynamics models induces bias in parameter estimators, e.g., density-dependence. In particular, when sampling errors are independent...

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Bibliographic Details
Main Authors: Hugues Santin-Janin, Bernard Hugueny, Philippe Aubry, David Fouchet, Olivier Gimenez, Dominique Pontier
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24489839/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24489839/?tool=EBI

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