BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:Modelling latent animal movement and behaviour in statistical ecol ogy with spatial hidden Markov models DTSTART:20201127T161500 DTEND:20201127T180000 DTSTAMP:20261002T002016Z UID:334f143fff580643c0f7de5d9f35e9b3c4a624a35a9f73b3985466e3 CATEGORIES:Conferences - Seminars DESCRIPTION:Richard Glennie\, St-Andrews\nAnimal movement and behaviour ar e key processes that drive scientific observations made on wild population s\, allowing us to infer where animals spend their time\, how they interac t with their environment\, and how many animals there are in a population. One obstacle for statistical methods when modelling animal movement or e ncounters between animals and scientific observers is that both the animal ’s true movement path and their changing behavioural state are unobserve d.\n\nIn this talk\, I will introduce a flexible modelling framework that uses spatial hidden Markov models where animal movement and behaviour are jointly modelled as a latent process and inferred from a wide variety of p ossible observation processes including animal telemetry data and widely u sed population abundance survey methods such as distance sampling and spat ial capture-recapture. The movement-behaviour process is described by a sy stem of advection-diffusion partial differential equations that can be app roximated by a continuous-time Markov chain. With this approximation and f urther computational techniques\, the marginalisation over all possible mo vement-behaviour histories of an animal can be efficiently implemented\, a llowing models with latent animal movement and behaviour to be fit by marg inal maximum likelihood.\n\nIn this talk\, I will show three examples of h ow this general statistical model can be used to improve upon existing app roaches in statistical ecology including reducing bias in population size estimates for Eastern spotted dolphins in the Tropical Pacific\, quantifyi ng inter-individual interactions between jaguars in Belize from camera tra p data\, and inferring the effect of spatial covariates on marine animal m ovement whilst respecting land boundaries. \n  LOCATION:zoom https://epfl.zoom.us/j/83145233935 STATUS:CONFIRMED END:VEVENT END:VCALENDAR