Heavy-tailed random vectros: theory and applications

In this paper we introduce and study several multivariate, heavy-tailed distribution classes, and we explore their closure properties and their applications. We consider the class of multivariate, positively decreasing distributions, and its intersection with other multivariate distribution classes.

Publication Details

Journal
ArXiv.org
Published
2025-03-17
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heavy-tailed random vectros: theory and applications

ArXiv.org
Corporate Social Responsibility Reporting
article

Heavy-tailed random vectros: theory and applications

article en

Abstract

In this paper we introduce and study several multivariate, heavy-tailed distribution classes, and we explore their closure properties and their applications. We consider the class of multivariate, positively decreasing distributions, and its intersection with other multivariate distribution classes.

ArXiv.org
Reduced inequalities
Openalex Percentile: Top 37%
Corporate Social Responsibility Reporting
Open 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.

Heavy-tailed random vectros: theory and applications · ArXiv.org (2025) | TGRS Research Map | TGRS