The statistics division has research interests in 3 main areas: wildlife population assessment, ecological and environmental modelling, and statistical inference.

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Recent Submissions

  • Primary education in Vietnam and pupil online engagement 

    Nguyen, Quynh; Naguib, Raouf; Das, Ashish; Papathomas, Michail; Vallar, Edgar; Wickramasinghe, Nilmini; Santos, Gil Nonato; Galvez, Maria Cecilia; Nguyen, Viet (2017) - Journal article
    Purpose This paper focuses on exploring the disparities in social awareness and use of the Internet between urban and rural school children in the North of Vietnam. Approach A total of 525 pupils, aged 9 to 11 years old, ...
  • Modelling the spatial dynamics of non-state terrorism : world study, 2002-2013 

    Python, André (University of St Andrews, 2017-12-07) - Thesis
    To this day, terrorism perpetrated by non-state actors persists as a worldwide threat, as exemplified by the recent lethal attacks in Paris, London, Brussels, and the ongoing massacres perpetrated by the Islamic State in ...
  • Modelling complex dependencies inherent in spatial and spatio-temporal point pattern data 

    Jones-Todd, Charlotte M (University of St Andrews, 2017-06-23) - Thesis
    Point processes are mechanisms that beget point patterns. Realisations of point processes are observed in many contexts, for example, locations of stars in the sky, or locations of trees in a forest. Inferring the mechanisms ...
  • A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales 

    Wensveen, Paul J.; Thomas, Len; Miller, Patrick J O (2015-09-21) - Journal article
    BACKGROUND: Detailed information about animal location and movement is often crucial in studies of natural behaviour and how animals respond to anthropogenic activities. Dead-reckoning can be used to infer such detailed ...
  • DESNT : a poor prognosis category of human prostate cancer 

    Luca, Bogdan-Alexandru; Brewer, Daniel S.; Edwards, Dylan R.; Edwards, Sandra; Whitaker, Hayley C.; Merson, Sue; Dennis, Nening; Cooper, Rosalin A.; Hazell, Steven; Warren, Anne Y.; Eeles, Rosalind; Lynch, Andy G.; Ross-Adams, Helen; Lamb, Alastair D.; Neal, David E.; Sethia, Krishna; Mills, Robert D.; Ball, Richard Y.; Curley, Helen; Clark, Jeremy; Moulton, Vincent; Cooper, Colin S. (2017-03-06) - Journal article
    Background : A critical problem in the clinical management of prostate cancer is that it is highly heterogeneous. Accurate prediction of individual cancer behaviour is therefore not achievable at the time of diagnosis ...

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