Alexis Boulin

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Phd. Student on extreme and unsupervised learning.

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About

I am third year PhD Student in the Probability and Statistics from the laboratoire Jean Alexandre Dieudonné of Université Côte d’Azur. I am also part of the Lemon team located in Montpellier. My research interest lies in extreme value theory and machine learning.

Publications

[2] Alexis Boulin. 2023. “A Python Package for Sampling from Copulae: Clayton.” Computo, January. [paper]

[1] Alexis Boulin, Elena Di Bernardino, Thomas Laloë, Gwladys Toulemonde, Non-parametric estimator of a multivariate madogram for missing-data and extreme value framework, Journal of Multivariate Analysis, Volume 192, November 2022. [paper]

Preprints

[3] Alexis Boulin, Estimating Max-Stable Random Vectors with Discrete Spectral Measure using Model-Based Clustering. [arXiv]

[2] Alexis Boulin, Elena Di Bernardino, Thomas Laloë, Gwladys Toulemonde, Identifying regions of concomitant compound precipitation and wind speed extremes over Europe. [arXiv]

[1] Alexis Boulin, Elena Di Bernardino, Thomas Laloë, Gwladys Toulemonde, High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process. [arXiv]

Teaching

Statistics and modeling, third year of Bachelor degree (48 hours)
2021-2023
Oral exam in probability theory, third year of Bachelor degree (16 hours)
2021-2023

Education

MSc in statistics and machine learning, 2021
Ensae Paris