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Merci Kolmogorov
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Merci Kolmogorov

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code-instable/README.md

Me

as a mathematics lover

I am passionate about mathematics. I plan to try sharing my love for mathematics to a wide audience using all the tools available for science communication :

  • Articles on the web with my future website
  • Videos about statistics on my youtube channel
  • Open-Source free courses made using LaTeX :
    • several Github projects to released yet on :
      • functional data analysis (intro)
      • french preparatory class courses (MP)
    • using unconventional writing style

as a developer

I develop essentially on Python and R for statistics and machine learning, and use LaTeX quite intensively for writing :

most used languages

If you are interested in a nice and functional LaTeX workflow, you can check out my LaTeX Template which I updated to suit my needs for writing math reports for my school projects locally as easy as possible, I hope it will help you as well !

Academic Projects

One might be interested in the different projects completed during my scholarship at ENSAI. These lead to what I am currently working on today, and I tried my best to be as pedagogical as possible, so that you too can learn about something interesting. Some are in french though...

Monte Carlo Integration [EN]

wAIS Methodological Project ENSAI

Functional Data Analysis [FR]

STAGE ENSAI FDA NON PARAM FGAM

FDA - Présentation APLS

FDA - Régularité : Etude de l'hyperparamètre du voisinage à considérer dans le lissage à noyaux pour l'estimation de la régularité des sample paths

These projects lead me to what I do today which is research in Statistics in the field of Functional Data Analysis.

RESEARCH

I am PhD student working on Nonparametric Regression of Functional Additive Models at Université Catholique de Louvain (UCL).

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  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