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Welcome to the Github webpage of Léo Belzile

I am an associate professor of statistics in the Department of Decision Sciences at HEC Montréal. Visit my webpage for my curriculum vitae. I am best reached by email.

R packages

The repositories on Github contain code for the R packages that I authored or maintain, including

  • mev - Modelling Extreme Values
  • TruncatedNormal - Truncated Multivariate Normal and Student Distributions
  • lcopula - Liouville Copulas
  • mig - Multivariate Inverse Gaussian Distribution
  • longevity - Statistical Methods for the Analysis of Excess Lifetimes
  • threshold - Threshold Selection Methods (✨under active development)
  • mvPot - Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events

or of which I am the current maintainer on the CRAN

  • BMAmevt - Bayesian Model Averaging for Multivariate Extremes
  • evt0 - Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates
  • VaRES - Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions
  • jointPm - Risk Estimation Using the Joint Probability Method
  • hkevp - Spatial Extreme Value Analysis with the Hierarchical Model of Reich and Shaby (2012)

Code for my papers

Published

  1. Olli Saarela, Léo Belzile and David A. Stephens (2016). A Bayesian view of doubly robust causal inference, Biometrika, 103(3): pp. 667–681. DOI:10.1093/biomet/asw025. Code
  2. Léo Belzile and Johanna G. Nešlehová (2017) Extremal attractors of Liouville copulas, Journal of Multivariate Analysis, 160C, pp. 68–92. DOI:10.1016/j.jmva.2017.05.008. Code
  3. Léo R. Belzile, Anthony C. Davison, Holger Rootzén and Dmitrii Zholud (2021). Human mortality at extreme age., Royal Society Open Science, 8: 202097, DOI:10.1098/rsos.202097. Code
  4. Léo R. Belzile, Anthony C. Davison, Jutta Gampe, Holger Rootzén and Dmitrii Zholud (2022). Is there a cap on longevity? A statistical review., Annual Reviews of Statistics and its Application, (9), 18, pp. 1–25. DOI:10.1146/annurev-statistics-040120-025426. Code
  5. Léo R. Belzile and Anthony C. Davison (2022). Improved inference for risk measures of univariate extremes, Annals of Applied Statistics, 16(3), pp. 1524–1549. DOI: 10.1214/21-AOAS1555. Code
  6. Léo R. Belzile, Christophe Dutang, Paul Northrop and Thomas Opitz (2023). A modeler's guide to extreme value software. Extremes, 26, pp. 595–638. DOI:10.1007/s10687-023-00475-9. Code.

Preprints

  1. Léo R. Belzile, Arnab Hazra, Rishikesh Yadav. An utopic adventure in the modelling of conditional univariate and multivariate extremes. Code
  2. Léo R. Belzile, Alain Desgagné, Christian Genest and Frédéric Ouimet (2024). Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on d-dimensional half-spaces. Code.

Course webpages

Course notes

R packages for course material

Léo Belzile's Projects

advanced-comp-2017 icon advanced-comp-2017

💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017

bmamevt icon bmamevt

Bayesian Model Averaging for Multivariate Extremes

chandwich icon chandwich

Chandler-Bate Sandwich Loglikelihood Adjustment

cospex icon cospex

Conditional spatiotemporal extremes

ealc icon ealc

Code for the data analysis in the paper "Extremal attractors of Liouville copulas"

edsm-f22 icon edsm-f22

Course website for Experimental Design and Statistical Methods, Fall 2022

edsm-w24 icon edsm-w24

Experimental Design and Statistical Methods, winter 2024

eva icon eva

Extreme value analysis

eva2021-talk icon eva2021-talk

Slides for the talk "Informative selection mechanisms for extreme value analyses" presented at EVA2021

evdbayes icon evdbayes

R Package - Bayesian Analysis in Extreme Value Theory

extliouv icon extliouv

Optimization routines for scaled Dirichlet extremal distribution and composite likelihood

hecbayes icon hecbayes

Data sets for the course Bayesian modelling at HEC Montreal

hecedsm icon hecedsm

Datasets for MATH 80667A (Experimental Design and Statistical Methods)

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