Essec\Faculty\Model\Contribution {#2233
#_index: "academ_contributions"
#_id: "15177"
#_source: array:26 [
"id" => "15177"
"slug" => "15177-from-geometric-quantiles-to-halfspace-depths-a-geometric-approach-for-extremal-behaviour"
"yearMonth" => "2023-06"
"year" => "2023"
"title" => "From geometric quantiles to halfspace depths: A geometric approach for extremal behaviour"
"description" => "SINGHA, S., KRATZ, M. et VADLAMANI, S. (2023). <i>From geometric quantiles to halfspace depths: A geometric approach for extremal behaviour</i>. WP 2307, ESSEC Business School."
"authors" => array:3 [
0 => array:3 [
"name" => "KRATZ Marie"
"bid" => "B00072305"
"slug" => "kratz-marie"
]
1 => array:1 [
"name" => "SINGHA Sibsankar"
]
2 => array:1 [
"name" => "VADLAMANI Sreekar"
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "asymptotic theorems"
1 => "concentration inequality"
2 => "halfspace (or Tukey) depth -empirical process"
3 => "extreme quantile"
4 => "geometric quantile"
5 => "multivariate quantile -tail behaviour"
]
"updatedAt" => "2025-03-17 16:58:41"
"publicationUrl" => "https://essec.hal.science/hal-04134321"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Documents de travail"
"en" => "Working Papers"
]
"support_type" => array:2 [
"fr" => "Cahier de Recherche"
"en" => "Working Papers"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "We investigate the asymptotics for two geometric measures, geometric quantiles and halfspace depths. While much literature is known on the population side, we fill out some gaps there to obtain a full picture, before turning to the sample versions, where the questions on asymptotics become crucial in view of applications. This is the core of the paper: We provide rates of convergence for the sample versions and address the extremal behaviour of the geometric measures according to the type of underlying distribution."
"en" => "We investigate the asymptotics for two geometric measures, geometric quantiles and halfspace depths. While much literature is known on the population side, we fill out some gaps there to obtain a full picture, before turning to the sample versions, where the questions on asymptotics become crucial in view of applications. This is the core of the paper: We provide rates of convergence for the sample versions and address the extremal behaviour of the geometric measures according to the type of underlying distribution."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-07-20T12:21:43.000Z"
"docTitle" => "From geometric quantiles to halfspace depths: A geometric approach for extremal behaviour"
"docSurtitle" => "Documents de travail"
"authorNames" => "<a href="/cv/kratz-marie">KRATZ Marie</a>, SINGHA Sibsankar, VADLAMANI Sreekar"
"docDescription" => "<span class="document-property-authors">KRATZ Marie, SINGHA Sibsankar, VADLAMANI Sreekar</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2023</span>"
"keywordList" => "<a href="#">asymptotic theorems</a>, <a href="#">concentration inequality</a>, <a href="#">halfspace (or Tukey) depth -empirical process</a>, <a href="#">extreme quantile</a>, <a href="#">geometric quantile</a>, <a href="#">multivariate quantile -tail behaviour</a>"
"docPreview" => "<b>From geometric quantiles to halfspace depths: A geometric approach for extremal behaviour</b><br><span>2023-06 | Documents de travail </span>"
"docType" => "research"
"publicationLink" => "<a href="https://essec.hal.science/hal-04134321" target="_blank">From geometric quantiles to halfspace depths: A geometric approach for extremal behaviour</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.658067
+"parent": null
}