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Research

Results for Monte Carlo maximum likelihood

Publications & Outputs

  1. Understanding the importance of spatial correlation in identifying spatio-temporal variation of disease risk, in the case of malaria risk mapping in southern Ethiopia

    Shuke kitawa, Y., Johnson, O., Giorgi, E. & Asfaw, Z., 30/11/2023, In: Scientific African. 22, 14 p., e01926.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. A Spatially Discrete Approximation to Log-Gaussian Cox Processes for Modelling Aggregated Disease Count Data

    Johnson, O., Diggle, P. & Giorgi, E., 30/10/2019, In: Statistics in Medicine. 38, 24, p. 4871-4887 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Combining data from multiple spatially-referenced prevalence surveys using generalized linear geostatistical models

    Giorgi, E., Sesay, S. S. S., Terlouw, D. J. & Diggle, P. J., 02/2015, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 178, 2, p. 445-464 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review