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Generalized biodiversity assessment by Bayesian nested random effects models with spyke-and-slab priors

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  • Jona Lasinio, Giovanna
  • Pollice, Alessio
  • Fano, Elisa Anna

Abstract

We analyze variations in α-diversity of benthic macroinvertebrate communities in an Italian lagoon system using Bayesian hierarchical models with nested random effects. Our aim is to understand how spatial scales influence microhabitat definition. Tsallis entropy measures diversity and spike-and-slab regression selects predictors.

Suggested Citation

  • Jona Lasinio, Giovanna & Pollice, Alessio & Fano, Elisa Anna, 2019. "Generalized biodiversity assessment by Bayesian nested random effects models with spyke-and-slab priors," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 52-56.
  • Handle: RePEc:eee:stapro:v:144:y:2019:i:c:p:52-56
    DOI: 10.1016/j.spl.2018.03.006
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    References listed on IDEAS

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    1. Ishwaran, Hemant & Sunil Rao, J., 2011. "Consistency of spike and slab regression," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1920-1928.
    2. Gupta, Nitin & Bajaj, Rakesh Kumar, 2013. "On partial monotonic behaviour of some entropy measures," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1330-1338.
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