Job Description
Project details
This project aimed to develop a methodology to integrate data sets from several studies. However, the sample size of each data set is small, so statistical analysis for each data set alone will lead to low statistical power. At the same time, each data set may be biased, so a naive data pooling procedure will not work. We want to develop new methods under models in biostatistics/clinical trial/medical imaging/computer vision. The object of this project also includes the study of the non-asymptotic properties of the estimators.
- Yang, E., & Ravikumar, P. (2013, December). Dirty statistical models. In Proceedings of the 26th International Conference on Neural Information Processing Systems-Volume 1 (pp. 611-619).
- Chen, A., Owen, A. B., & Shi, M. (2015). Data enriched linear regression. Electronic journal of statistics, 9(1), 1078-1112.
- Asiaee, A., Oymak, S., Coombes, K. R., & Banerjee, A. (2018). High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. arXiv preprint arXiv:1806.04047.
- Wainwright, M. J. (2019). High-dimensional statistics: A non-asymptotic viewpoint (Vol. 48). Cambridge University Press.
94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Supervisors
Primary supervisor:Â Dr Peng Liu
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours.
Entry requirements for United Kingdom
Applicants should have, or are expected to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics or in a related subject.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
Tuition fees for 2025-26 entry
UK fee
£5,006 Full-time degree per annum
International fee
£22,360 Full-time degree per annum
Fees for the 2025-26 academic year apply to projects starting in October 2025, January 2026, April 2026 and July 2026.
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
How to apply
All applications should be made online. Under programme name, select: Mathermatical Sciences. Please quote the advertised reference number: MA/PL-SF1/2025 in your application.
To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.
The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that this criteria is used for both funded and self-funded projects.
Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.
