Risk analysis based on extreme regression
Extremes may give rise to bigger severity of occurrences than ordinary risks and then turn notably complex. Management of extreme events often faces challenges in the practice of problem solving and decision making, and therefore, requires of a special consideration and sufficiently using information provided. One of the most important types of statistical methods for gathering information for decision making is regression, when covariate information is available. How will the unprecedented data nowadays richness shape management of extreme events in practices? This projects aims to develop novel extreme-regression for risk analysis.
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
This is a self funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.