Document of bibliographic reference 98292
BibliographicReference record
- Type
- Bibliographic resource
- Type of document
- Journal article
- BibLvlCode
- AS
- Title
- Predicting future discoveries of European marine species by using a non-homogeneous renewal process
- 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.
- WebOfScience code
- https://www.webofscience.com/wos/woscc/full-record/WOS:000232169200006
- Bibliographic citation
- 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
- Topic
- Marine
- Is peer reviewed
- true
thesaurus terms
- term
- Biodiversity (term code: 9471 - defined in term set: ASFA Thesaurus List)
- Dispersion (term code: 2365 - defined in term set: ASFA Thesaurus List)
- Prediction (term code: 6510 - defined in term set: ASFA Thesaurus List)
- Species (term code: 7867 - defined in term set: ASFA Thesaurus List)
Other terms
- other terms associated with this publication
- Bayesian inference
- Renewal process
- Reversible jump
- Thinned point process