Objective Bayesian analysis for a capture–recapture model
Chang Xu (),
Dongchu Sun () and
Chong He ()
Annals of the Institute of Statistical Mathematics, 2014, vol. 66, issue 2, 245-278
Abstract:
In this paper, we study a special capture–recapture model, the $$M_t$$ M t model, using objective Bayesian methods. The challenge is to find a justified objective prior for an unknown population size $$N$$ N . We develop an asymptotic objective prior for the discrete parameter $$N$$ N and the Jeffreys’ prior for the capture probabilities $$\varvec{\theta }$$ θ . Simulation studies are conducted and the results show that the reference prior has advantages over ad-hoc non-informative priors. In the end, two real data examples are presented. Copyright The Institute of Statistical Mathematics, Tokyo 2014
Keywords: Capture–recapture; Objective prior; Frequentist property (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s10463-013-0413-1 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:aistmt:v:66:y:2014:i:2:p:245-278
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10463/PS2
DOI: 10.1007/s10463-013-0413-1
Access Statistics for this article
Annals of the Institute of Statistical Mathematics is currently edited by Tomoyuki Higuchi
More articles in Annals of the Institute of Statistical Mathematics from Springer, The Institute of Statistical Mathematics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().