Global law of conjugate kernel random matrices with heavy-tailed weights

Authors

Institutions

Publication Details

Journal
Electronic Journal of Probability
Published
2026-01-01
DOI
https://doi.org/10.1214/25-ejp1464
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global law of conjugate kernel random matrices with heavy-tailed weights

Alice Guionnet, Vanessa Piccolo
Electronic Journal of Probability
Random Matrices and Applications
article

Global law of conjugate kernel random matrices with heavy-tailed weights

Alice Guionnet, Vanessa Piccolo
article en

Abstract

No abstract available for this paper.
Electronic Journal of ProbabilityVol. 31(none)
Centre National de la Recherche Scientifique (FR), Unité de Mathématiques Pures et Appliquées (FR)
Openalex Percentile: Top 96%
Random Matrices and Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Global law of conjugate kernel random matrices with heavy-tailed weights — Alice Guionnet, Vanessa Piccolo · Electronic Journal of Probability (2026) | TGRS Research Map | TGRS