Multiscale statistical classification

Statistical classification of objects into groups can be either supervised (where we know which group some observations fall in to) or unsupervised (where we don't know what groups exist). Examples of supervised classification are discriminant analysis and classification trees; unsupervised classification includes cluster analysis. These tools are widespread, especially with the advent of modern 'big data' applications such as genetic databases and market segmentation. Several of these methods are based on estimating the densities of underlying distributions; others use tree-like data structures. Both of these approaches can be thought of in a multiscale way, where we want to look at both local details and the 'big picture' simultaneously but separately. Useful tools for multiscale analysis are wavelets and the more general lifting algorithm. This project will investigate the application of wavelets and lifting to statistical classification problems, identifying when and how these approaches can be used and assessing their strengths and weaknesses compared to more traditional methods.

<p>The earliest start date for this project is 1 October 2020.</p>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;Multiscale statistical classification&rsquo;&nbsp;as well as&nbsp;<a href="https://physicalsciences.leeds.ac.uk/staff/5/dr-stuart-barber">Dr Stuart Barber</a> as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<p><strong>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong> &ndash;&nbsp;Leeds Doctoral Scholarship Award paying Academic Fees and Maintenance matching EPSRC rate of &pound;15,009 per year for 3 years, School of Mathematics Scholarship award paying Academic Fees and Maintenance matching EPSRC rate of &pound;15,009 per year for 3 years.&nbsp; Alumni Bursary is available to previous University of Leeds graduates offering 10% discount on Academic Fees.</p> <p><strong>International Students</strong> &ndash;&nbsp;China Scholarship Council-University of Leeds Scholarship Award paying Academic Fees for 3 years,&nbsp;School of Mathematics Scholarship award paying Academic Fees for 3 years, Commonwealth Scholarship and Commonwealth Split Site Scholarships.&nbsp; Alumni Bursary is available to previous University of Leeds graduates offering 10% discount on Academic Fees.</p>

<p>For further information regarding your application, please contact Doctoral College Admissions by&nbsp;email:&nbsp;<a href="mailto:maps.pgr.admissions@leeds.ac.uk">maps.pgr.admissions@leeds.ac.uk</a>, or by telephone: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact Dr Stuart Barber by email:&nbsp;&nbsp;<a href="mailto:S.barber@leeds.ac.uk">S.barber@leeds.ac.uk</a></p>