Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects
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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
- Akaike, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle,” in Proceedings of the Second International Symposium on Information Theory, eds. B. N. Petrov and F. Csaki, Budapest: Akademiai Kiado, pp. 267–281.Google Scholar
- Brownie, C., Anderson, D. R., Burnham, K. P., and Robson, D. S. (1985), Statistical Inference From Band Recovery Data: A Handbook (2nd ed.), Washington, DC: U.S. Fish and Wildlife Service Resources, Publication 156.Google Scholar
- Otis, D. L., Burnham, K. P., White, G. C., and Anderson, D. R. (1978), “Statistical Inference From Capture Data on Closed Animal Population,” Wildlife Monographs, 62.Google Scholar
- Spiegelhalter, D., Thomas, A., Best, N., and Lunn, D. (2001), WinBUGS User Manual (version. 1.4), Cambridge, UK. MRC Biostatistics Unit. Available at http://www.mrc-bsu.cam.ac.uk/bugs.Google Scholar