Essec\Faculty\Model\Contribution {#2205
  #_index: "academ_contributions"
  #_id: "13872"
  #_source: array:26 [
    "id" => "13872"
    "slug" => "robust-sub-gaussian-estimation-of-a-mean-vector-in-nearly-linear-time"
    "yearMonth" => "2022-03"
    "year" => "2022"
    "title" => "Robust sub-Gaussian estimation of a mean vector in nearly linear time"
    "description" => "DEPERSIN, J. et LECUE, G. (2022). Robust sub-Gaussian estimation of a mean vector in nearly linear time. <i>Annals of Statistics</i>, 50(1), pp. 511-536."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "LECUE Guillaume"
        "bid" => "B00806953"
        "slug" => "lecue-guillaume"
      ]
      1 => array:1 [
        "name" => "DEPERSIN Jules"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2023-03-30 11:41:59"
    "publicationUrl" => "https://projecteuclid.org/journals/annals-of-statistics/volume-50/issue-1/Robust-sub-Gaussian-estimation-of-a-mean-vector-in-nearly/10.1214/21-AOS2118.short"
    "publicationInfo" => array:3 [
      "pages" => "511-536"
      "volume" => "50"
      "number" => "1"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "We construct an algorithm for estimating the mean of a heavy-tailed random variable when given an adversarial corrupted sample of N independent observations. The only assumption we make on the distribution of the noncorrupted (or informative) data is the existence of a covariance matrix Σ, unknown to the statistician."
      "en" => "We construct an algorithm for estimating the mean of a heavy-tailed random variable when given an adversarial corrupted sample of N independent observations. The only assumption we make on the distribution of the noncorrupted (or informative) data is the existence of a covariance matrix Σ, unknown to the statistician."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-05-03T09:22:05.000Z"
    "docTitle" => "Robust sub-Gaussian estimation of a mean vector in nearly linear time"
    "docSurtitle" => "Articles"
    "authorNames" => "<a href="/cv/lecue-guillaume">LECUE Guillaume</a>, DEPERSIN Jules"
    "docDescription" => "<span class="document-property-authors">LECUE Guillaume, DEPERSIN Jules</span><br><span class="document-property-authors_fields">Systèmes d’Information, Sciences de la Décision et Statistiques</span> | <span class="document-property-year">2022</span>"
    "keywordList" => ""
    "docPreview" => "<b>Robust sub-Gaussian estimation of a mean vector in nearly linear time</b><br><span>2022-03 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://projecteuclid.org/journals/annals-of-statistics/volume-50/issue-1/Robust-sub-Gaussian-estimation-of-a-mean-vector-in-nearly/10.1214/21-AOS2118.short" target="_blank">Robust sub-Gaussian estimation of a mean vector in nearly linear time</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.685889
  +"parent": null
}