Congratulation to Chen Yu, who passed his viva with minor corrections on 27th May. Chen’s project, The Use of Mixture Models in Capture-Recapture, was supervised by Byron Morgan and Diana Cole.<\/p>\n
Abstract<\/strong> Congratulation to Chen Yu, who passed his viva with minor corrections on 27th May. Chen’s project, The Use of Mixture Models in Capture-Recapture, was supervised by Byron Morgan and Diana Cole. Abstract Mixture models have been widely used to model heterogeneity. In this thesis, we focus on the use of mixture models in capture{recapture, for […]<\/p>\n","protected":false},"author":40695,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[148226],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/52"}],"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=52"}],"version-history":[{"count":1,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/52\/revisions"}],"predecessor-version":[{"id":53,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/52\/revisions\/53"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media?parent=52"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/categories?post=52"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/tags?post=52"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nMixture models have been widely used to model heterogeneity. In this thesis,
\nwe focus on the use of mixture models in capture{recapture, for both closed
\npopulations and open populations. We provide both practical and theoretical
\ninvestigations. A new model is proposed for closed populations and the practical
\ndiculties of model tting for mixture models are demonstrated for open
\npopulations. As the number of model parameters can increase with the number
\nof mixture components, whether we can estimate all of the parameters using
\nthe method of maximum likelihood is an important issue. We explore this
\nusing formal methods and develop general rules to ensure that all parameters
\nare estimable.<\/p>\n","protected":false},"excerpt":{"rendered":"