{"id":263,"date":"2016-07-05T10:10:46","date_gmt":"2016-07-05T09:10:46","guid":{"rendered":"http:\/\/blogs.kent.ac.uk\/seak\/?p=263"},"modified":"2016-07-05T10:10:46","modified_gmt":"2016-07-05T09:10:46","slug":"paper-parameter-redundancy-in-discrete-state-space-and-integrated-models","status":"publish","type":"post","link":"https:\/\/blogs.kent.ac.uk\/seak\/2016\/07\/05\/paper-parameter-redundancy-in-discrete-state-space-and-integrated-models\/","title":{"rendered":"Paper: Parameter redundancy in discrete state-space and integrated models"},"content":{"rendered":"<p>Diana and Rachel&#8217;s Paper, Parameter redundancy in discrete state-space and integrated models, is available online early in the Biometrical Journal at http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/bimj.201400239\/abstract<\/p>\n<p>Abstract: 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 non-identifiable. 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.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Diana and Rachel&#8217;s Paper, Parameter redundancy in discrete state-space and integrated models, is available online early in the Biometrical Journal at http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/bimj.201400239\/abstract Abstract: 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 [&hellip;]<\/p>\n","protected":false},"author":40695,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[597],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/263"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/users\/40695"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/comments?post=263"}],"version-history":[{"count":1,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/263\/revisions"}],"predecessor-version":[{"id":264,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/263\/revisions\/264"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media?parent=263"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/categories?post=263"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/tags?post=263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}