Institute for Mathematical Innovation

GW4 consortium meeting: Statistical methods for intensively measured health data

Monday 18 January 2016 

The University of Bath is part of a GW4 consortium looking at Analysis of Instensively Collected Health Data.

Dr Nicole Augustin, from the Department of Mathematical Sciences, is the consortium lead at the University of Bath and is hosting the next meeting on Monday 18 January 2016. Afternoon talks are open to everyone, but please register in advance if you would like to attend. Visit Nicole's GW4 meeting page to view the full programme.

Speakers at the meeting include:

  • Dylan Thompson (University of Bath) - Multidimensional Physical Activity – How to Develop a Scoring System that Cuts across Dimensions
  • Sonja Greven (Ludwig-Maximilians-University Munich) - Regression with Functional Data with Applications in Bioprocess Monitoring and Pig Sensor Data
  • Marc Fiecas (University of Warwick) - Discrimination and Classification of Multivariate Time Series, with Applications to Sensor Data
  • Vanessa Didelez (University of Bristol) - Imperfect Experiments and Instrumental Variables

Please contact the IMI Co-ordinator Dr Catrin Yeomans at for further information.