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Bertolacci, Michael Dr

Research Fellow

Top Publications


    Year Title
    2022 WOMBAT v1.0: A fully Bayesian global flux-inversion framework
    Published in   Geoscientific Model Development
    2019 Climate inference on daily rainfall across the Australian continent, 1876–2015
    Published in   Annals of Applied Statistics
    2022 AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series
    Published in   Journal of Computational and Graphical Statistics

Research Overview


  • I am interested in large scale spatio-temporal problems in environmental statistics. My previous research involved developing hierarchical Bayesian mixture models for the analysis of Australian daily rainfall at the continental scale. I also investigated methods for modelling multiple nonstationary time series in the spectral domain, as applied to spatial datasets including monthly rainfall and measles epidemiology.

    My current research focuses on spatio-temporal flux inversion for trace gases using remotely sensed data.

Selected Publications


  • Journal Article

    Year Title
    2022

    Published In
    Journal of Computational and Graphical Statistics
    2022

    Published In
    Geophysical Research Letters
    2022

    Published In
    Geoscientific Model Development
     
    2019

    Published In
    Annals of Applied Statistics
  • Conference Paper

    Year Title
    2007

    Published In
    Proceedings of the 7th SIAM International Conference on Data Mining
    2006

    Published In
    Working Group Reports on ITiCSE on Innovation and Technology in Computer Science Education 2006
    2006

    Published In
    ITiCSE06 - Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education
  • Other Publications

    Year Title
    2022

Top Publications


    Year Title
    2022 WOMBAT v1.0: A fully Bayesian global flux-inversion framework
    Published in   Geoscientific Model Development
    2019 Climate inference on daily rainfall across the Australian continent, 1876–2015
    Published in   Annals of Applied Statistics
    2022 AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series
    Published in   Journal of Computational and Graphical Statistics

Research Overview


  • I am interested in large scale spatio-temporal problems in environmental statistics. My previous research involved developing hierarchical Bayesian mixture models for the analysis of Australian daily rainfall at the continental scale. I also investigated methods for modelling multiple nonstationary time series in the spectral domain, as applied to spatial datasets including monthly rainfall and measles epidemiology.

    My current research focuses on spatio-temporal flux inversion for trace gases using remotely sensed data.

Selected Publications


  • Journal Article

    Year Title
    2022

    Published In
    Journal of Computational and Graphical Statistics
    2022

    Published In
    Geophysical Research Letters
    2022

    Published In
    Geoscientific Model Development
     
    2019

    Published In
    Annals of Applied Statistics
  • Conference Paper

    Year Title
    2007

    Published In
    Proceedings of the 7th SIAM International Conference on Data Mining
    2006

    Published In
    Working Group Reports on ITiCSE on Innovation and Technology in Computer Science Education 2006
    2006

    Published In
    ITiCSE06 - Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education
  • Other Publications

    Year Title
    2022
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Research Areas