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Spatiotemporal model fusion: multiscale modelling of civil unrest

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  • Andrew Hoegh
  • Marco A. R. Ferreira
  • Scotland Leman

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  • Andrew Hoegh & Marco A. R. Ferreira & Scotland Leman, 2016. "Spatiotemporal model fusion: multiscale modelling of civil unrest," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 529-545, August.
    • Handle: RePEc:bla:jorssc:v:65:y:2016:i:4:p:529-545
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    File URL: http://hdl.handle.net/10.1111/rssc.12138
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    References listed on IDEAS

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    1. Vanja Dukic & Hedibert F. Lopes & Nicholas G. Polson, 2012. "Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1410-1426, December.
    2. Sudipto Banerjee & Alan E. Gelfand & Andrew O. Finley & Huiyan Sang, 2008. "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 825-848, September.
    3. Gramacy, Robert B & Lee, Herbert K. H, 2008. "Bayesian Treed Gaussian Process Models With an Application to Computer Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1119-1130.
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    Cited by:

    1. Ho-Hsiang Wu & Marco A. R. Ferreira & Mohamed Elkhouly & Tieming Ji, 2020. "Hyper Nonlocal Priors for Variable Selection in Generalized Linear Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(1), pages 147-185, February.
    2. Nilotpal Sanyal & Marco A. R. Ferreira, 2017. "Bayesian Wavelet Analysis Using Nonlocal Priors with an Application to fMRI Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 361-388, November.
    3. Gulnaz Anjum & Mudassar Aziz, 2024. "Role of Media Consumption, Governmental Distrust & Psychological Vulnerability in Predicting Affective Well-being of University Students & Healthcare Professionals during COVID-19," SAGE Open, , vol. 14(2), pages 21582440241, April.

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