Relaxing closure assumptions for removal modelling

Dr Rachel McCrea (University of Kent); Joint work with Ming Zhou, Eleni Matechou and Diana Cole

  • Thu 14 Feb 19

    14:00 - 16:00

  • Colchester Campus

    STEM Centre 3.1

  • Event speaker

    Dr Rachel McCrea

  • Event type

    Lectures, talks and seminars

  • Event organiser

    Mathematical Sciences, Department of

  • Contact details

    Dr Harrison

Removal surveys typically involve daily visits to a site with a record being kept of the number of animals being collected on each sampling occasion.

The recorded data are of the form of counts, where nt denotes the number of animals collected and removed on sampling occasion t. Under the assumption of closure and constant capture probability the expected number of captures at each sampling occasion follows a geometric distribution and enables the estimation of the unknown population size, N.

Within this talk Dr Rachel McCrea will present three new approaches for dealing with violations of the assumption of population closure. The first allows for new arrivals to enter the population with the unknown number of new arrival groups selected using a reversible jump MCMC algorithm; secondly Dr McCrea will present a new approach which implements the LASSO to determine when new arrivals enter the population.

Finally she will present a multi-state model with an unobservable state to account for temporary emigration which can be fitted to data collected under a robust design sampling scheme.  

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