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Research Group

Statistics

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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

People, projects and publications

People

Dr Jon Cockayne

Lecturer in Statistics

Research interests

  • Statistical Computing
  • Bayesian Computation
  • Probabilistic Numerical Methods

Accepting applications from PhD students

Email: jon.cockayne@soton.ac.uk

Address: B39, West Highfield Campus, University Road, SO17 1BJ

Professor Sujit Sahu

Professor of Statistics

Research interests

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

Accepting applications from PhD students

Email: s.k.sahu@soton.ac.uk

Address: B54, West Highfield Campus, University Road, SO17 1BJ

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

Email: w.liu@soton.ac.uk

Address: B54, West Highfield Campus, University Road, SO17 1BJ

Professor Zudi Lu

Chair in Statistics

Research interests

  • Nonlinear financial time series modeling and financial statistics / econometrics; 
  • Statistical inference and computation for nonlinear dynamic modeling with statistical (deep) learning, (causal) reasoning and prediction of spatial/temporal (tensor) data;
  • Applied temporal/spatial modeling for actuarial/financial, energy, environmental, climate  and green financial risks;

Accepting applications from PhD students

Email: z.lu@soton.ac.uk

Address: B54, West Highfield Campus, University Road, SO17 1BJ

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

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