Former SE@K PhD student Anita Jeyam, Rachel and Roger Pradel (Montpellier) have had a paper published presenting a new test for determining the underlying state structure of Hidden Markov models.\u00a0 This is an exciting piece of work which provides the foundation for addressing a complex topic for general HMMs.<\/p>\n
The full paper is available open access here: https:\/\/www.frontiersin.org\/articles\/10.3389\/fevo.2021.598325\/full<\/p>\n
A Test for the Underlying State-Structure of Hideen Markov Models – Partially Observed Capture-Recapture Data<\/strong><\/p>\n Hidden Markov models (HMMs) are being widely used in the field of ecological modeling, Former SE@K PhD student Anita Jeyam, Rachel and Roger Pradel (Montpellier) have had a paper published presenting a new test for determining the underlying state structure of Hidden Markov models.\u00a0 This is an exciting piece of work which provides the foundation for addressing a complex topic for general HMMs. The full paper is available open […]<\/p>\n","protected":false},"author":40696,"featured_media":938,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/934"}],"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\/40696"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/comments?post=934"}],"version-history":[{"count":2,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/934\/revisions"}],"predecessor-version":[{"id":937,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/934\/revisions\/937"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media\/938"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media?parent=934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/categories?post=934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/tags?post=934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nhowever determining the number of underlying states in an HMM remains a challenge.
\nHere we examine a special case of capture-recapture models for open populations,
\nwhere some animals are observed but it is not possible to ascertain their state (partial
\nobservations), whilst the other animals\u2019 states are assigned without error (complete
\nobservations). We propose a mixture test of the underlying state structure generating
\nthe partial observations, which assesses whether they are compatible with the set of
\nstates observed in the complete observations. We demonstrate the good performance
\nof the test using simulation and through application to a data set of Canada Geese.<\/p>\n","protected":false},"excerpt":{"rendered":"