Prediction, inference and their application to modelling correlated data

    Project: Research

    Project Details

    Description

    Our purpose is to develop advanced statistical modelling techniques for the analysis of correlated data, which are prevalent in population surveys, longitudinal and spatial studies. Our results will enable researchers to better understand underlying complex problems such as world malnutrition and poverty or climate change.
    StatusFinished
    Effective start/end date1/06/1431/05/17

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