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Risk analysis based on extreme regression

Civil Engineering

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Prof K Yu Applications accepted all year round Self-Funded PhD Students Only

About the Project

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.

Funding Notes

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:
Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU 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%.

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