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Predicting future discoveries of European marine species by using a non-homogeneous renewal process
Wilson, S.P.; Costello, M.J. (2005). Predicting future discoveries of European marine species by using a non-homogeneous renewal process. Appl. Statist. 54(5): 897-918
In: Journal of the Royal Statistical Society: Series C, Applied Statistics. Blackwell Publishers: London. ISSN 0035-9254
Peer reviewed article  

Available in  Authors 

Keywords
    Biodiversity; Dispersion; Prediction; Species; Marine

Authors  Top 
  • Wilson, S.P.
  • Costello, M.J., more

Abstract
    Predicting future rates of species discovery and the number of species remaining are important in efforts to preserve biodiversity, discussions on the rate of species extinction and comparisons on the state of knowledge of animals and plants of different taxa. Data on discovery dates of species in 32 European marine taxa are analysed by using a class of thinned temporal renewal process models.These models allow for both underdispersion and overdispersion with respect to the non-homogeneous Poisson process. An approach for implementing Bayesian inference for these models is described that uses Markov chain Monte Carlo simulation and that is applicable to other types of thinned process. Predictions are made on the number of species remaining to be discovered in each taxon.

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