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math.ST2026
Structured linear factor models for tail dependence
Alexis Boulin, Axel Bücher
A common object to describe the extremal dependence of a -variate random vector is the stable tail dependence function . Various parametric models have emerged, with a po…
math.ST2024
Estimating Max-Stable Random Vectors with Discrete Spectral Measure using Model-Based Clustering
Alexis Boulin
This study introduces a novel estimation method for the entries and structure of a matrix in the linear factor model . This is applied to…
math.ST2024
High-dimensional variable clustering based on maxima of a weakly dependent random process
Alexis Boulin, Elena Di Bernardino, Thomas Laloë +1
We propose a new class of models for variable clustering called Asymptotic Independent block (AI-block) models, which defines population-level clusters based on the independence of…