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Multi-model inference of non-random mating from an information theoretic approach

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  • Carvajal-Rodríguez, A.

Abstract

Non-random mating has a significant impact on the evolution of organisms. Here, I developed a modelling framework for discrete traits (with any number of phenotypes) to explore different models connecting the non-random mating causes (mate competition and/or mate choice) and their consequences (sexual selection and/or assortative mating).

Suggested Citation

  • Carvajal-Rodríguez, A., 2020. "Multi-model inference of non-random mating from an information theoretic approach," Theoretical Population Biology, Elsevier, vol. 131(C), pages 38-53.
    • Handle: RePEc:eee:thpobi:v:131:y:2020:i:c:p:38-53
    DOI: 10.1016/j.tpb.2019.11.002
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    References listed on IDEAS

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    1. Joseph E. Cavanaugh, 2004. "Criteria for Linear Model Selection Based on Kullback's Symmetric Divergence," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 46(2), pages 257-274, June.
    2. Fuchang Gao & Lixing Han, 2012. "Implementing the Nelder-Mead simplex algorithm with adaptive parameters," Computational Optimization and Applications, Springer, vol. 51(1), pages 259-277, January.
    3. Dominic A. Edward, 2015. "The description of mate choice," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(2), pages 301-310.
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