Research course

Statistics and Probability

Institution
University of Nottingham · School of Mathematical Sciences
Qualifications
PhD

Entry requirements

2:1 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content.

Months of entry

September

Course content

Research carried out in this group falls into four categories:

Applied and Theoretical Probability – mathematical finance; stochastic analysis and diffusions on manifolds; semi-Markov processes; probability inequalities; limit theorems under dependence; stochastic optimal control; Markov decision processes; ion channel models.

Epidemic Modelling – developing and analysing stochastic epidemic models; statistical inference for infectious disease data.

Shape and Image Analysis – Statistical shape analysis; object data analysis,including images,functions,trees and manifold valued data; biomedical image analysis.

Statistical Theory and Computation – asymptotic techniques; Bayesian inference; nonparametric methods including empirical likelihood and the bootstrap; saddlepoint approximations; spatial statistics; Markov chain Monte Carlo methods; Laplace transform-based inference; inference for ordinary and stochastic differential equations.

For a more extensive overview, please visit the course page on the University of Nottingham's online prospectus.

Department specialisms

mathematical finance; stochastic analysis and diffusions on manifolds; semi-Markov processes; probability inequalities; limit theorems under dependence; stochastic optimal control; Markov decision processes; ion channel models; developing and analysing stochastic epidemic models; statistical inference for infectious disease data; high-level Bayesian image analysis; medical image analysis; spatio-temporal modelling; texture analysis; nonparametric inference in shape analysis; asymptotic techniques; Bayesian inference; nonparametric methods including empirical likelihood and the bootstrap; saddlepoint approximations; spatial statistics; Markov chain Monte Carlo methods; Laplace transform-based inference; inference for ordinary and stochastic differential equations

Information for international students

English language requirements: IELTS 6.5 (no less than 6.0 in any element). The University runs a number of preparatory English programmes each summer and, for extra support during your degree, you can attend its free language classes. For more information, visit http://www.nottingham.ac.uk/cele/index.aspx

Fees and funding

The Graduate School at The University of Nottingham provides information on internal and external sources of postgraduate funding.

There is also funding information on the School of Mathematical Sciences web pages.

For information on funding opportunities for international students, please see the International Office website.

Qualification and course duration

PhD

full time
36-48 months
part time
72 months

Course contact details

Name
Professor A Wood
Email
maths-pg-admissions@nottingham.ac.uk
Phone
+44 (0)115 9514983