Asymmetry in direction and distance when modelling animal movement: some computational aspects

J. Ferreira, N. Nakhaeirad, A. Bekker, G. Ramkilawon

Movement of animals is often characterised by direction (measured on the circle) and distance (measured on the real line); but traditionally employed models do not account for potential asymmetric angular movement. This talk focusses on the modelling of circular data in this animal movement setting by implementing previously unconsidered circular distributions which may allow for a departure from symmetry. In addition, mixtures of often considered models for distance is considered and computational aspects of this joint modelling highlighted. A general hidden state Markov model is used to incorporate both these essential components when estimating via the EM algorithm, and goodness-of-fit measures verifies the validity and viable future consideration of these newly proposed theoretical models within this practical and computational animal movement environment.

Keywords: ecology, bootstrap, Lindley, von Mises

Scheduled

Statistical Models II
June 10, 2022  4:00 PM
A11

Other papers in the same session

Medidas comparativas para la esperanza de conjuntos estrellados aleatorios

A. B. Ramos Guajardo, G. González Rodríguez

Modelling toroidal data using circula densities generated from Fourier series

A. Pewsey

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