Essec\Faculty\Model\Contribution {#6196`
#_index: "academ_contributions"
#_id: "12541"
#_source: array:25 [``
"id" => "12541"
"slug" => "parallel-resampling-in-the-particle-filter"
"yearMonth" => "2016-01"
"year" => "2016"
"title" => "Parallel Resampling in the Particle Filter"
"description" => "MURRAY, L.M., LEE, A. et JACOB, P. (2016). Parallel Resampling in the Particle Filter. <i>Journal of Computational and Graphical Statistics</i>, 25(3), pp. 789-805."
"authors" => array:3 [``
0 => array:3 [``
"name" => "JACOB Pierre"
"bid" => "B00795650"
"slug" => "jacob-pierre"
`]
1 => array:1 [`
"name" => "MURRAY Lawrence M."
`]
2 => array:1 [`
"name" => "LEE Anthony"
`]
]
"ouvrage" => ""
"keywords" => array:4 [`
0 => "Graphics processing unit"
1 => "parallel computing"
2 => "particle methods"
3 => "Sequential Monte Carlo"
`]
"updatedAt" => "2023-01-27 01:00:40"
"publicationUrl" => "https://doi.org/10.1080/10618600.2015.1062015"
"publicationInfo" => array:3 [`
"pages" => "789-805"
"volume" => "25"
"number" => "3"
`]
"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" => "Modern parallel computing devices, such as the graphics processing unit (GPU), have gained significant traction in scientific and statistical computing. They are particularly well-suited to data-parallel algorithms such as the particle filter, or more generally sequential Monte Carlo (SMC), which are increasingly used in statistical inference. SMC methods carry a set of weighted particles through repeated propagation, weighting, and resampling steps."
"en" => "Modern parallel computing devices, such as the graphics processing unit (GPU), have gained significant traction in scientific and statistical computing. They are particularly well-suited to data-parallel algorithms such as the particle filter, or more generally sequential Monte Carlo (SMC), which are increasingly used in statistical inference. SMC methods carry a set of weighted particles through repeated propagation, weighting, and resampling steps."
`]
"authors_fields" => array:2 [`
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
`]
"indexedAt" => "2023-12-11T18:22:12.000Z"
"docTitle" => "Parallel Resampling in the Particle Filter"
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/jacob-pierre">JACOB Pierre</a>, MURRAY Lawrence M., LEE Anthony"
"docDescription" => "<span class="document-property-authors">JACOB Pierre, MURRAY Lawrence M., LEE Anthony</span><br><span class="document-property-authors_fields">Systèmes d’Information, Sciences de la Décision et Statistiques</span> | <span class="document-property-year">2016</span>"
"keywordList" => "<a href="#">Graphics processing unit</a>, <a href="#">parallel computing</a>, <a href="#">particle methods</a>, <a href="#">Sequential Monte Carlo</a>"
"docPreview" => "<b>Parallel Resampling in the Particle Filter</b><br><span>2016-01 | Articles </span>"
"docType" => "research"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.959997
+"parent": null
}