STOR-i
Understanding Complex and Large Industrial Data

STOR-i

The Statistics and Operational Research Doctoral Training Centre (STOR-i DTC) is a joint venture between the departments of Mathematics and Statistics and Management Science at Lancaster University, which offers a four-year PhD programme in Statistics and Operational Research (STOR) developed and delivered with industrial partners.


The core of STOR-i’s research philosophy is an integrated approach with a continual research cycle, encompassing methodology and application within statistics, OR and industry.


Research Cycle


STOR-i harbours internationally recognised expertise in statistical modelling and inference, forecasting, optimisation, simulation and stochastic modelling with a particularly strong focus on computationally intensive approaches. There are a host of sub-areas in which STOR-i have particular strength including:


  • change-point analysis
  • extreme value theory
  • heuristic methods
  • mathematical programming
  • time series analysis
  • spatial statistics
  • stochastic dynamic programming
  • stochastic programming.

STOR-i’s expertise in the above areas plays a part in key areas of importance to today’s society. These form some of the core research themes at STOR-i:


  • energy
  • environmental change
  • green logisitics
  • healthcare.

Further information on STOR-i and its research can be found on the main website.


The UCLID 2014 committee gratefully acknowledge the funding provided by STOR-i which has allowed this workshop to take place.

STOR-i
STOR-i

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