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SUMMARY:Hierarchical Models for Knowledge Transfer in Industrial Fleets - 
 Maharshi Dhada\, Industrial Engineering
DTSTART:20231010T121000Z
DTEND:20231010T130000Z
UID:TALK201262@talks.cam.ac.uk
CONTACT:Bea Simpson
DESCRIPTION:Population data are often found\, for example\, while analysin
 g linguistics\, historical demography\, social media behaviours\, or a fle
 et 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 da
 ta in its natural form of origin. The benefits of these techniques are hig
 hlighted in this talk through examples of applications in industrial engin
 eering\, and a variety of applications across humanities research are also
  discussed.
LOCATION:Richard King room\, Darwin College
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