Chenglei Hu

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

 

 

Research title: Flexible joint modelling of multivariate extreme and non-extreme events

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: 1.

2024

Li, Mengran, Cuba, Daniela, Hu, Chenglei and Castro-Camilo, Daniela ORCID logoORCID: https://orcid.org/0000-0002-7536-4613 (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (doi: 10.1007/s10687-024-00500-5) (Early Online Publication)

This list was generated on Wed Aug 20 21:42:34 2025 BST.
Jump to: Articles
Number of items: 1.

Articles

Li, Mengran, Cuba, Daniela, Hu, Chenglei and Castro-Camilo, Daniela ORCID logoORCID: https://orcid.org/0000-0002-7536-4613 (2024) A wee exploration of techniques for risk assessments of extreme events. Extremes, (doi: 10.1007/s10687-024-00500-5) (Early Online Publication)

This list was generated on Wed Aug 20 21:42:34 2025 BST.

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