Chenglei Hu

Email: c.hu2@research.gla.ac.uk

 

 

Research title: Natural hazard risk estimation using Multivariate Extreme-Value Mixture Models (MEVMM)

Research Summary

My research interest involves Extreme Value Theory, Spatial and Spatial-Temporal Modelling, Bayesian Statistics and Markov Chain Monte Carlo.

I am currently generalising the extreme value mixture model to the multivariate case and developing a new methodology to jointly fit the bulk and tail distribution of multivariate environment data. It has promising applications in estimating extreme events or risks in hydrology, meteorology and finance.

Publications

List by: Type | Date

Jump to: 2024
Number of items: 2.

2024

Li, M., Cuba, D., Hu, C. and Castro-Camilo, D. (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (doi: 10.1007/s10687-024-00500-5) (Early Online Publication)

LI, M., Cuba, D., Hu, C. and Castro-Camilo, D. (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (Accepted for Publication)

This list was generated on Sat Dec 21 04:27:32 2024 GMT.
Jump to: Articles
Number of items: 2.

Articles

Li, M., Cuba, D., Hu, C. and Castro-Camilo, D. (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (doi: 10.1007/s10687-024-00500-5) (Early Online Publication)

LI, M., Cuba, D., Hu, C. and Castro-Camilo, D. (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (Accepted for Publication)

This list was generated on Sat Dec 21 04:27:32 2024 GMT.

Supervisors

Grants

College Scholarship

Teaching

2021-2022

  • Advanced Predictive Models (Level M)
  • Introduction to Data Science with Python for Engineers and Researchers (Microcrential)
  • Statistics Project and Dissertation (Level M)

 


Profile