University College London Featured PhD Programmes
University of Glasgow Featured PhD Programmes
Xi’an Jiaotong-Liverpool University Featured PhD Programmes
University of Kent Featured PhD Programmes
Loughborough University Featured PhD Programmes

Theory of Nonparametric Bayesian Inference

  • Full or part time
  • Application Deadline
    Friday, January 31, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Bayesian nonparametric methods with Dirichlet process and Gaussian priors, among others, are widely used in practice and are part of some machine learning methods. However, it is known that they can lead to inconsistent inference. Hence, it is important to study large sample properties of inference based on these models, such the rate of contraction of the posterior distribution and local concentration of the posterior around the true parameter (known as the Bernstein-von Mises theorem). The project will be supervised by Dr Natalia Bochkina.

Entry requirements:


• A Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science or similar (a First Class or good Upper Second Class Honours degree, or the equivalent from an overseas university);

• Strong mathematical background, particularly in functional analysis and probability theory

• Strong verbal and written communication skills in English.


• Knowledge of Bayesian methods

Funding Notes

This project is funded by a University of Edinburgh scholarship which fully covers the cost of tuition fees and provides an annual stipend. This scholarship is open to home, EU, and overseas students.

Related Subjects

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2020
All rights reserved.