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Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction

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  • C. Jessica E. Metcalf
  • David A. Stephens
  • Mark Rees
  • Svata M. Louda
  • Kathleen H. Keeler

Abstract

Summary. We address the problem of Markov chain Monte Carlo analysis of a complex ecological system by using a Bayesian inferential approach. We describe a complete likelihood framework for the life history of the wavyleaf thistle, including missing information and density dependence. We indicate how, to make inference on life history transitions involving both missing information and density dependence, the stochastic models underlying each component can be combined with each other and with priors to obtain expressions that can be directly sampled. This innovation and the principles described could be extended to other species featuring such missing stage information, with potential for improving inference relating to a range of ecological or evolutionary questions.

Suggested Citation

  • C. Jessica E. Metcalf & David A. Stephens & Mark Rees & Svata M. Louda & Kathleen H. Keeler, 2009. "Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 143-170, May.
    • Handle: RePEc:bla:jorssc:v:58:y:2009:i:2:p:143-170
    DOI: 10.1111/j.1467-9876.2008.00652.x
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