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  Non Linear Function-on-Function Regression Analysis and Applications


   School of Mathematics, Statistics and Physics

This project is no longer listed on FindAPhD.com and may not be available.

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  Dr J Shi  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

A function-on-function regression model is to analyse relationship between a functional response variable and a set of functional and non-functional covariates. It has wide applications in medicine, engineering, computing sciences and other areas.

In this project a new nonparametric Bayesian approach based on an extended covariance kernel and a Gaussian process prior will be studied. Other types of process prior will also be studied. The method will be applied on reconstruction of human motion by using data collected from game controllers.

Successful applicants will also be given the opportunity to complete teaching and demonstrating duties within the school amounting to up to £1500 per annum.

Funding Notes

This studentships is available to UK/EU and International candidates, who have/expect a 2:1 honours degree in computing science, mathematics, physics, statistics or another strongly quantitative discipline, or an international equivalent.

Applicants whose first language is not English require a minimum of IELTS 6.5. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme.

The studentship includes tuition fees, a tax-free stipend of (up to) £14,296pa (16/17 level), a desktop computer, and £1500 travel allowance.