期刊
BIOMETRICAL JOURNAL
卷 58, 期 5, 页码 1071-1090出版社
WILEY
DOI: 10.1002/bimj.201400239
关键词
Capture-recapture; Identifiability; Joint likelihood; Mark-recovery models; Population dynamics
资金
- NERC [NE/J018473/1]
- NERC [NE/J018473/1] Funding Source: UKRI
- Natural Environment Research Council [NE/J018473/1] Funding Source: researchfish
Discrete state-space models are used in ecology to describe the dynamics of wild animal populations, with parameters, such as the probability of survival, being of ecological interest. For a particular parametrization of a model it is not always clear which parameters can be estimated. This inability to estimate all parameters is known as parameter redundancy or a model is described as nonidentifiable. In this paper we develop methods that can be used to detect parameter redundancy in discrete state-space models. An exhaustive summary is a combination of parameters that fully specify a model. To use general methods for detecting parameter redundancy a suitable exhaustive summary is required. This paper proposes two methods for the derivation of an exhaustive summary for discrete state-space models using discrete analogues of methods for continuous state-space models. We also demonstrate that combining multiple data sets, through the use of an integrated population model, may result in a model in which all parameters are estimable, even though models fitted to the separate data sets may be parameter redundant.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据