Скачать или смотреть Fellow Short Talks: Dr Ioanna Manolopoulou (UCL)

Ioanna’s work focuses on developing Bayesian modelling and inferential tools for complex data, involving space and time processes with inhomogeneous features. Her work has been applied to various applications including customer science, ecology, health economics and accounting. Methodologically, one of her directions within The Alan Turing Institute will be to develop new methods for dealing with data with complex dependencies or which have not been collected completely randomly. In terms of applications, her work in retail analytics aims to provide novel customer and product segmentations as well as devise more tailored prediction algorithms. She is also interested in health economics, in particular, identifying population wide treatment effects and studying the effect of uncertainty in public health decision-making. View Dr Ioanna Manolopoulou's personal website at http://www.homepages.ucl.ac.uk/~ucakima/

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