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LSE Research Online

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    Number of items: 4.
    Article
  • Dureau, J., Kalogeropoulos, K., Vickerman, P., Pickles, M., Boily, M. C. (2016). A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 65(2), 237 - 257. https://doi.org/10.1111/rssc.12116
  • Beskos, A., Dureau, J., Kalogeropoulos, K. (2015). Bayesian inference for partially observed stochastic differential equations driven by fractional Brownian motion. Biometrika, 102(4), 809-827. https://doi.org/10.1093/biomet/asv051
  • Dureau, Joseph, Kalogeropoulos, Konstantinos, Baguelin, Marc (2013). Capturing the time-varying drivers of an epidemic using stochastic dynamical systems. Biostatistics, 14(3), 541-555. https://doi.org/10.1093/biostatistics/kxs052
  • Thesis
  • Dureau, Joseph (2013). Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling [Doctoral thesis]. London School of Economics and Political Science. picture_as_pdf
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