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

  • Determining the behavioural dose-response relationship of marine mammals to air gun noise and source proximity 

    Dunlop, Rebecca A.; Noad, Michael J.; McCauley, Robert D.; Scott-Hayward, Lindesay Alexandra Sarah; Kniest, Eric; Slade, Robert; Paton, David; Cato, Douglas H. (2017-08-16) - Journal article
    The effect of various anthropogenic sources of noise (e.g. sonar, seismic surveys) on the behaviour of marine mammals is sometimes quantified as a dosetextendashresponse relationship, where the probability of an animal ...
  • Long-time analytic approximation of large stochastic oscillators : simulation, analysis and inference 

    Minas, Giorgos; Rand, David A. (2017-07-24) - Journal article
    In order to analyse large complex stochastic dynamical models such as those studied in systems biology there is currently a great need for both analytical tools and also algorithms for accurate and fast simulation and ...
  • Adaptive multivariate global testing 

    Minas, Giorgos; Aston, John A D; Stallard, Nigel (2014-06) - Journal article
    We present a methodology for dealing with recent challenges in testing global hypotheses using multivariate observations. The proposed tests target situations, often arising in emerging applications of neuroimaging, where ...
  • Inferring transcriptional logic from multiple dynamic experiments 

    Minas, Giorgos; Jenkins, Dafyd J.; Rand, David A.; Finkenstädt, Bärbel (2017-11-01) - Journal article
    Motivation: The availability of more data of dynamic gene expression under multiple experimental conditions provides new information that makes the key goal of identifying not only the transcriptional regulators of a gene ...
  • ReTrOS : a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data 

    Minas, Giorgos; Momiji, Hiroshi; Jenkins, Dafyd J; Costa, Maria J; Rand, David A; Finkenstädt, Bärbel (2017-06-26) - Journal article
    BACKGROUND: Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to ...

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