High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process

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Publication Details

Journal
Journal of the American Statistical Association
Published
2025-02-03
DOI
https://doi.org/10.1080/01621459.2025.2459443
Citations
1
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
2.48

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article

High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process

Thomas Laloë, Elena Di Bernardino, Gwladys Toulemonde, Alexis Boulin
1 citations
Journal of the American Statistical Association
Bayesian Methods and Mixture Models
2.48
article

High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process

Thomas Laloë, Elena Di Bernardino, Gwladys Toulemonde, Alexis Boulin
article en
1 citations

Abstract

No abstract available for this paper.
Journal of the American Statistical AssociationVol. 120(551)
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Université de Montpellier (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 12%
Bayesian Methods and Mixture Models
2.48
DOIOpen Access PDFOpenAlex
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