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

Authors

author
Name
Simon Wilson
author
Name
Mark Costello
Identifier
https://orcid.org/0000-0003-2362-0328

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

Document metadata

date created
2006-04-25
date modified
2017-03-16