Research Group

Statistics

A laptop displaying a graph.

As part of the Southampton statistical sciences research institute (S3RI) we carry out research in methodology and substantive applications.

About

Our research is focused on the following themes: 

  • design and analysis of experiments 
  • statistical modelling 
  • biostatistics 

We have close links with statisticians and stochastic modelers across the University, especially those in the Division of Social Statistics and Demography. 

We organise the S3RI Statistics Seminars. The calendar can be found S3RI Statistics Seminars and the seminars are open to all. 

Southampton itself is a founding member institution for the Academy for PhD Training in Statistics (APTS) and regularly contributes lecturers to this national advanced taught course programme.  

We run MSc programmes in Statistics, Statistics with Applications in Medicine, and Actuarial Science, and are partners in MSc Data and Decision Analytics

Research highlights

People, projects and publications

People

Dr Helen Ogden

Associate Professor

Research interests

  • Flexible regression models
  • Models for longitudinal and clustered data
  • Models for count data

Accepting applications from PhD students

Connect with Helen

Dr Jon Cockayne

Lecturer in Statistics

Research interests

  • Statistical Computing
  • Bayesian Computation
  • Probabilistic Numerical Methods
Connect with Jon

Professor Sujit Sahu

Professor of Statistics

Research interests

  • Applied Bayesian modelling
  • Bayesian computation
  • Spatio-temporal data modelling

Accepting applications from PhD students

Connect with Sujit

Professor Wei Liu

Professor in Mathematics

Research interests

  • Simultaneous inference (including multiple tests and simultaneous confidence bands);
  • Simultaneous tolerance bands and statistical calibration;
  • Tolerance bounds, tolerance regions and applications;

Accepting applications from PhD students

Connect with Wei
My interests are kernel methods and uncertainty quantification, probabilistic numerical methods, and inverse problems.
Lecturer in Statistics

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