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Merrilee Hurn

Dr

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Research interests

Markov chain Monte Carlo methods, particularly with applications in image analysis, Bayesian mixture modelling, and Bayesian methodology. For more details of my research in these areas, and other research work of the statistics group in Bath, see the statistics group's research page.

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  • Classification of molecular sequence data using Bayesian phylogenetic mixture models

    Loza Reyes, E., Hurn, M. A. & Robinson, A., 1 Jul 2014, In: Computational Statistics & Data Analysis. 75, p. 81-95 15 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    1   Link opens in a new tab Citation (SciVal)
    280 Downloads (Pure)

  • Improving power posterior estimation of statistical evidence

    Friel, N., Hurn, M. & Wyse, J., Sept 2014, In: Statistics and Computing. 24, 5, p. 709-723 15 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    39   Link opens in a new tab Citations (SciVal)
    329 Downloads (Pure)

  • Measurement errors and scaling relations in astrophysics: A review

    Andreon, S. & A. Hurn, M., Jan 2013, In: Statistical Analysis and Data Mining. 6, 1, p. 15-33 19 p.

    Research output: Contribution to journal › Article › peer-review

    39   Link opens in a new tab Citations (SciVal)

  • Tuning tempered transitions

    Behrens, G., Friel, N. & Hurn, M., 1 Jan 2012, In: Statistics and Computing. 22, 1, p. 65-78 14 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    22   Link opens in a new tab Citations (SciVal)
    310 Downloads (Pure)

  • Mapping electron density in the ionosphere: a principal component MCMC algorithm

    Khorsheed, E., Hurn, M. & Jennison, C., 1 Jan 2011, In: Computational Statistics & Data Analysis. 55, 1, p. 338-352 15 p.

    Research output: Contribution to journal › Article › peer-review

    2   Link opens in a new tab Citations (SciVal)
View all 19 research outputs