University of Cambridge > > Darwin College Humanities and Social Sciences Seminars > Hierarchical Models for Knowledge Transfer in Industrial Fleets

Hierarchical Models for Knowledge Transfer in Industrial Fleets

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Population data are often found, for example, while analysing linguistics, historical demography, social media behaviours, or a fleet of machines. Statistical hierarchical modelling is a powerful technique that enables us to model data originating from a population. By modelling data at multiple levels, this technique systematically formulates the data in its natural form of origin. The benefits of these techniques are highlighted in this talk through examples of applications in industrial engineering, and a variety of applications across humanities research are also discussed.

This talk is part of the Darwin College Humanities and Social Sciences Seminars series.

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