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Browsing Centres Science and Engineering by Author "Burke, Kevin"

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Browsing Centres Science and Engineering by Author "Burke, Kevin"

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  • MacCarron, Pádraig; Maher, Paul J.; Fennell, Susan C.; Burke, Kevin; Gleeson, James P.; Durrheim, Kevin; Quayle, Michael (Public Library of Science, 2020)
    Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set ...
  • O'Brien, Joseph D.; Burke, Kevin; Burke, Mark E.; Barmish, Ross B. (IEEE Computer Society, 2020)
    For sequential betting games, Kelly’s theory, aimed at maximization of the logarithmic growth of one’s account value, involves optimization of the so-called betting fraction K. In this Letter, we extend the classical ...
  • O'Brien, Joseph D.; Burke, Mark E.; Burke, Kevin (IEEE Computer Society, 2020)
    —We present a generalization of the Simultaneous Long-Short (SLS) trading strategy described in recent control literature wherein we allow for different parameters across the short and long sides of the controller; we refer ...
  • Fennell, Susan C.; Burke, Kevin; Quayle, Michael; Gleeson, James P. (American Chemical Society, 2021)
    When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network. This behavior cannot be captured ...
  • Peng, Defen; MacKenzie, Gilbert; Burke, Kevin (Wiley and Sons Ltd.,, 2020)
    We develop flexible multiparameter regression (MPR) survival models for interval‐censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multiparameter ...
  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2013)
    The proportional hazards (PH) assumption in survival analysis may not always be appropriate. If data do not obey the assumption then we will reach incorrect conclusions by making it. For example we may find a covariate to ...
  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2012)
    It is well known that the proportional hazards (PH) assumption is a simplifying assumption in survival analysis that may not always be appropriate. However, PH models are routinely fitted and inference is made on the ...
  • MacKenzie, Gilbert; Al-tawarah, Yasin; Blagojevic, Milisa; Burke, Kevin (IWSM, 2018)
    Non-PH parametric survival modelling is developed within the frame- work of the multiple logistic function. The family considered comprises three basic models: (a) a PH model, (b) an accelerated life model and (c) a model ...
  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2011)
    We aim to explore the survival distributions based on the extreme dispersion, XD, models proposed by Jørgensen (2010). It is suggested that survival times can be modelled within the XD framework by taking log T = Y ~ ...
  • Peng, Defen; Burke, Kevin; MacKenzie, Gilbert (IWSM, 2018)
    The Weibull multi-parameter regression (MPR) model with frailty is developed for interval censored survival data. The basic MPR model which is wholly parametric with non-proportional hazards was developed by Burke ...

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