Exponential tilting of subweibull distributions

Fuente: arXiv
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Autore principale: Townes, F. William
Natura: Preprint
Pubblicazione: 2024
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author Townes, F. William
author_facet Townes, F. William
contents The class of subweibull distributions has recently been shown to generalize the important properties of subexponential and subgaussian random variables. We describe alternative characterizations of subweibull distributions and detail the conditions under which their tail behavior is preserved after exponential tilting.
format Preprint
id arxiv_https___arxiv_org_abs_2407_11386
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exponential tilting of subweibull distributions
Townes, F. William
Probability
Statistics Theory
Machine Learning
The class of subweibull distributions has recently been shown to generalize the important properties of subexponential and subgaussian random variables. We describe alternative characterizations of subweibull distributions and detail the conditions under which their tail behavior is preserved after exponential tilting.
title Exponential tilting of subweibull distributions
topic Probability
Statistics Theory
Machine Learning
url https://arxiv.org/abs/2407.11386