dc.contributor.author |
Fewster, Rachel |
en |
dc.contributor.author |
Stevenson, Ben |
en |
dc.contributor.author |
Borchers, DL |
en |
dc.date.accessioned |
2017-06-08T00:07:37Z |
en |
dc.date.issued |
2016 |
en |
dc.identifier.citation |
Statistical Science, 2016, 31 (2), 245 - 258 |
en |
dc.identifier.issn |
0883-4237 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/33337 |
en |
dc.description.abstract |
Capture–recapture studies increasingly rely upon natural tags that allow animals to be identified by features such as coat markings, DNA profiles, acoustic profiles, or spatial locations. These innovations greatly increase the number of capture samples achievable and enable capture–recapture estimation for many inaccessible and elusive species. However, natural features are invariably imperfect as indicators of identity. Drawing on the recently developed Palm likelihood approach to parameter estimation in clustered point processes, we propose a new estimation framework based on comparing pairs of detections, which we term the trace-contrast framework. Importantly, no reconstruction of capture histories is needed. We show that we can achieve accurate, precise, and computationally fast inference. We illustrate the methods with a camera-trap study of a partially marked population of ship rats (Rattus rattus) in New Zealand. |
en |
dc.language |
English |
en |
dc.publisher |
Institute of Mathematical Statistics |
en |
dc.relation.ispartofseries |
Statistical Science |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://sherpa.ac.uk/romeo/issn/0883-4237/
http://www.imstat.org/publications/copyrights/copyrightTA.pdf |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Trace-Contrast Models for Capture–Recapture Without Capture Histories |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1214/16-STS551 |
en |
pubs.issue |
2 |
en |
pubs.begin-page |
245 |
en |
pubs.volume |
31 |
en |
dc.description.version |
VoR - Version of Record |
en |
pubs.author-url |
http://projecteuclid.org/euclid.ss/1464105041 |
en |
pubs.end-page |
258 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
530696 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Statistics |
en |
dc.identifier.eissn |
2168-8745 |
en |
pubs.record-created-at-source-date |
2017-06-08 |
en |