Boris Béranger
  • Home
  • Research
  • Teaching
  • Supervision
  • About
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Honours Students
    • 2019
    • 2022
    • 2023
    • 2025
  • Industry Projects
    • Reducing Indigenous contact with the court system.
    • SIGMA Project: Modelling of the reliability of cast iron gas pipes in the Paris region.
  • Masters Students
    • 2017
    • 2019
    • 2020
    • 2021
    • 2022
    • 2024
    • 2025
  • PhD Students
    • Dr Thomas Whitaker
    • Dr Prosha A. Rahman
    • Dr Ahmad Hakiim Jamaluddin
    • Ms Mehreen Azfaal
    • Mr Max Fisher
  • Postdoctoral Fellows
    • Dr Peng Zhong
  • Publications
    • ExtremalDep: Modelling extremal dependence in high-dimensional extremes
    • Analysing symbolic data by pseudo-marginal methods
    • Fast and flexible inference for spatial extremes
    • The influence of neighbourhood disadvantage on charge dismissal: the case of drunk driving
    • Improving population-level refractive error monitoring via mixture distributions
    • New models for symbolic data analysis
    • Likelihood-based inference for modelling packet transit from thinned flow summaries
    • High-dimensional inference using the extremal skew-t process
    • Estimation and uncertainty quantification for extreme quantile regions
    • Logistic regression models for aggregated data
    • Composite likelihood methods for histogram-valued random variables
    • Constructing likelihood functions for interval-valued random variables
    • Extremal properties of the multivariate extended skew-normal distribution, Part B
    • Extremal properties of the univariate extended skew-normal distribution, Part A
    • Tail density estimation for exploratory data analysis using kernel methods
    • Models for Extremal Dependence Derived from Skew-symmetric Families
    • Extreme Dependence Models
  • Recent & Upcoming Talks
    • Fast and flexible inference for spatial extremes
    • Advances in data analysis using aggregated data
    • Logistic Regression Models for Aggregated Data
    • Logistic Regression Models for Aggregated Data
    • Fitting max-stable processes to high-dimensional data
    • Using symbolic data to understand underlying data behaviour
    • Estimation and uncertainty quantification for extreme quantile regions
    • Fitting models to underlying data using aggregates
    • High-dimensional inference for max-stable processes
    • Estimation and uncertainty quantification for extreme quantile regions
    • High-dimensional inference for max-stable processes
    • Composite likelihood and logistic regression models for aggregated data
    • Estimating Equations for Data Summaries
    • Advances in the analysis of aggregated data
    • New Models for Symbolic Data
    • Inference for extremal-$t$ and skew-$t$ max-stable models in high dimensions
    • First steps in the analysis of Symbolic Data
    • A composite likelihood based approach for max-stable processes using histogram-valued variables
    • On some features of the skewed families of max-stable processes
    • Exploratory data analysis of extreme values using non-parametric kernel methods
  • Supervision
  • Teaching
    • _index-old
    • AMSI Summer School 2022
    • DATA9001
    • MATH3841
    • MATH5805
    • MATH5806
    • MATH5856
    • ZZSC5806
    • ZZSC9001

ZZSC9001

· 0 min read
Last updated on Aug 12, 2025
Boris Béranger
Authors
Boris Béranger
Senior Lecturer
← ZZSC5806 Jan 1, 0001

© 2025 Boris Béranger. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.