Session One – A new method for data linkage and analysis of linked data
Date: 14th October 2016
Venue: SCI 1.20 (Maths Common room), University of East Anglia
Big Data are both the result and the catalyst of an ongoing technology explosion. Access to high volumes of complex data in government, business, and social media provides a new way to harvest knowledge. Big Data arise in such fields as genomics, public health, environmental sciences, neuroscience, and business. This monthly seminar series aims to facilitate the application of statistics and data science to Big Data in all their variety.
Professor Harvey Goldstein will be delivering the first, inaugural session of the new seminar.
The talk will present a straightforward method for linking two or more data files based on a correspondence analysis algorithm. It will suggest efficient ways of modelling linked data within a missing data framework.
Tea and coffee will be provided after the talk.