Bayesian composite confidence interval for the tail index under randomly right-censored data

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Ameraoui, Abdelkader, Dupuy, Jean-François, Boukhetala, Kamal
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909225387556864
author Ameraoui, Abdelkader
Dupuy, Jean-François
Boukhetala, Kamal
author_facet Ameraoui, Abdelkader
Dupuy, Jean-François
Boukhetala, Kamal
contents Bayesian composite likelihood estimation of the tail index of a heavy-tailed distribution is addressed when data are randomly right-censored. Maximum a posteriori and mean posterior estimators are constructed under Jeffrey's prior distribution of the tail index. Based on asymptotic results, some confidence regions (CR) for the tail index are constructed using posterior distribution and log-posterior ratio statistic. The proposed confidence regions are investigated via Finite-sample simulations. Finally, the proposed confidence regions are outperformed through two real datasets
format Preprint
id arxiv_https___arxiv_org_abs_2406_11484
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bayesian composite confidence interval for the tail index under randomly right-censored data
Ameraoui, Abdelkader
Dupuy, Jean-François
Boukhetala, Kamal
Statistics Theory
Bayesian composite likelihood estimation of the tail index of a heavy-tailed distribution is addressed when data are randomly right-censored. Maximum a posteriori and mean posterior estimators are constructed under Jeffrey's prior distribution of the tail index. Based on asymptotic results, some confidence regions (CR) for the tail index are constructed using posterior distribution and log-posterior ratio statistic. The proposed confidence regions are investigated via Finite-sample simulations. Finally, the proposed confidence regions are outperformed through two real datasets
title Bayesian composite confidence interval for the tail index under randomly right-censored data
topic Statistics Theory
url https://arxiv.org/abs/2406.11484