On the study of extremes with dependent random right-censoring

The study of extremes in missing data frameworks is a recent developing field. In particular, the randomly right-censored case has been receiving a fair amount of attention in the last decade. All studies on this topic, however, essentially work under the usual assumption that the variable of intere...

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Main Author: Stupfler, Gilles
Format: Article
Published: Springer 2019
Subjects:
Online Access:https://eprints.nottingham.ac.uk/52338/
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author Stupfler, Gilles
author_facet Stupfler, Gilles
author_sort Stupfler, Gilles
building Nottingham Research Data Repository
collection Online Access
description The study of extremes in missing data frameworks is a recent developing field. In particular, the randomly right-censored case has been receiving a fair amount of attention in the last decade. All studies on this topic, however, essentially work under the usual assumption that the variable of interest and the censoring variable are independent. Furthermore, a frequent characteristic of estimation procedures developed so far is their crucial reliance on particular properties of the asymptotic behaviour of the response variable Z (that is, the minimum between time-to-event and time-to-censoring) and of the probability of censoring in the right tail of Z. In this paper, we focus instead on elucidating this asymptotic behaviour in the dependent censoring case, and, more precisely, when the structure of the dependent censoring mechanism is given by an extreme value copula. We then draw a number of consequences of our results, related to the asymptotic behaviour, in this dependent context, of a number of estimators of the extreme value index of the random variable of interest that were introduced in the literature under the assumption of independent censoring, and we discuss more generally the implications of our results on the inference of the extremes of this variable.
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spelling nottingham-523382020-05-04T19:42:45Z https://eprints.nottingham.ac.uk/52338/ On the study of extremes with dependent random right-censoring Stupfler, Gilles The study of extremes in missing data frameworks is a recent developing field. In particular, the randomly right-censored case has been receiving a fair amount of attention in the last decade. All studies on this topic, however, essentially work under the usual assumption that the variable of interest and the censoring variable are independent. Furthermore, a frequent characteristic of estimation procedures developed so far is their crucial reliance on particular properties of the asymptotic behaviour of the response variable Z (that is, the minimum between time-to-event and time-to-censoring) and of the probability of censoring in the right tail of Z. In this paper, we focus instead on elucidating this asymptotic behaviour in the dependent censoring case, and, more precisely, when the structure of the dependent censoring mechanism is given by an extreme value copula. We then draw a number of consequences of our results, related to the asymptotic behaviour, in this dependent context, of a number of estimators of the extreme value index of the random variable of interest that were introduced in the literature under the assumption of independent censoring, and we discuss more generally the implications of our results on the inference of the extremes of this variable. Springer 2019-03 Article PeerReviewed Stupfler, Gilles (2019) On the study of extremes with dependent random right-censoring. Extremes, 22 (1). pp. 97-129. ISSN 1572-915X Random right-censoring dependent censoring extreme value copula extreme value index tail identi_ability tail censoring probability https://link.springer.com/article/10.1007/s10687-018-0328-6 doi:10.1007/s10687-018-0328-6 doi:10.1007/s10687-018-0328-6
spellingShingle Random right-censoring
dependent censoring
extreme value copula
extreme value index
tail identi_ability
tail censoring probability
Stupfler, Gilles
On the study of extremes with dependent random right-censoring
title On the study of extremes with dependent random right-censoring
title_full On the study of extremes with dependent random right-censoring
title_fullStr On the study of extremes with dependent random right-censoring
title_full_unstemmed On the study of extremes with dependent random right-censoring
title_short On the study of extremes with dependent random right-censoring
title_sort on the study of extremes with dependent random right-censoring
topic Random right-censoring
dependent censoring
extreme value copula
extreme value index
tail identi_ability
tail censoring probability
url https://eprints.nottingham.ac.uk/52338/
https://eprints.nottingham.ac.uk/52338/
https://eprints.nottingham.ac.uk/52338/