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Merci Kolmogorov
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Merci Kolmogorov

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code-instable/README.md

Hugo Brunet

PhD student in Statistics at UCLouvain. I work on Functional Data Analysis, nonparametric regression, functional additive models, and measurement error.


Mathematics and science communication

I am interested in sharing mathematics and statistics through:


Developer profile

I mostly use Python, R, Typst and LaTeX for statistics, machine learning, numerical methods, and reproducible research via Nix.

GitHub profile overview

My LaTeX workflow/template:

LaTeX Template

Open-source contributions

I also contribute to open-source ecosystems. Many of these contributions are small, by the Archimedean property, many of these small ɛ-contributions can eventually add up to a large contribution overtime. (🙂)

Open-source contributions

Selected upstreams:


Academic projects

Selected academic projects from ENSAI, mostly related to simulation, statistics, and functional data analysis.

Academic GitHub projects

Research

UCLouvain ISBA

Current research topics:

  • Functional Data Analysis
  • nonparametric regression
  • additive models
  • measurement error
  • deconvolution
  • numerical statistics

Pinned Loading

  1. LaTeX-Template LaTeX-Template Public template

    A simple fully-featured LaTeX Template, with nice structure, and commands for ease of use

    TeX

  2. ENSAI-2A-stage-FGAM ENSAI-2A-stage-FGAM Public

    ENSAI : Stage 2A - modèles additifs fonctionnels & déconvolution

    TeX 1

  3. ENSAI-3A-FDA-Presentation-APLS ENSAI-3A-FDA-Presentation-APLS Public

    Présentation de la méthodologie autour de la PLS pour les données fonctionnelles. Construit en utilisant reveal.js et mathjax.

    JavaScript

  4. ENSAI-3A-Projet-Methodologie-wAIS ENSAI-3A-Projet-Methodologie-wAIS Public

    Projet Méthodologie de [3A—GS] basé sur l'article de F. Portier sur le wAIS — Hugo Brunet & Markus Goeswein

    Python

  5. ENSAI-stage_fin_etude-datastorm_fda_regularite-rapport ENSAI-stage_fin_etude-datastorm_fda_regularite-rapport Public

    Stage de fin d'Etudes : Régularité en Analyse des Données Fonctionnelles pour les séries temporelles

    TeX