Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects
In this article, we present Bayesian analysis of capture-recapture models for a closed population which allows for heterogeneity of capture probabilities between animals and bait/trap effects. We use a flexible discrete mixture model to account for the heterogeneity and behavioral effects. In addition we present a solid model selection criterion. Through illustrations with a motivating dataset, we demonstrate how Bayesian analysis can be applied in this setting and discuss some major benefits which result, including consideration of informative priors based on historical data.
Key WordsBayesian inference Capture-recapture models Closed population Heterogeneity Gibbs sampling MCMC WinBUGS
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