Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "13884"
#_source: array:26 [
"id" => "13884"
"slug" => "13884-approximate-bayesian-inference"
"yearMonth" => "2022-05"
"year" => "2022"
"title" => "Approximate Bayesian Inference"
"description" => "ALQUIER, P. [Ed] (2022). <i>Approximate Bayesian Inference</i>. MDPI."
"authors" => array:1 [
0 => array:3 [
"name" => "ALQUIER Pierre"
"bid" => "B00809923"
"slug" => "alquier-pierre"
]
]
"ouvrage" => ""
"keywords" => array:11 [
0 => "Bayesian statistics"
1 => "machine learning"
2 => "variational approximations"
3 => "PAC-Bayes"
4 => "expectation-propagation"
5 => "Markov chain Monte Carlo"
6 => "Langevin Monte Carlo"
7 => "sequential Monte Carlo"
8 => "Laplace approximations"
9 => "approximate Bayesian computation"
10 => "Gibbs posterior"
]
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://www.mdpi.com/books/book/5544"
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Direction d'ouvrage"
"en" => "Book editor"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => """
This book is a reprint of the Special Issue Approximate Bayesian Inference that was published in the open access journal Entropy (ISSN 1099-4300) (available at: https://www.mdpi.com/journal/entropy/special_issues/approx_Bayes_inference).\n 
This book is a reprint of the Special Issue Approximate Bayesian Inference that was published in the
The objective of this Special Issue is to provide the latest advances in approximate Monte Carlo methods and in approximations of the posterior: design of efficient algorithms, study of the statistical properties of these algorithms, and challenging applications. The objective of this Special Issue is to provide the latest advances in approximate Monte Carlo met
"""
"en" => """
This book is a reprint of the Special Issue Approximate Bayesian Inference that was published in the open access journal Entropy (ISSN 1099-4300) (available at: https://www.mdpi.com/journal/entropy/special_issues/approx_Bayes_inference).\n This book is a reprint of the Special Issue Approximate Bayesian Inference that was published in the
The objective of this Special Issue is to provide the latest advances in approximate Monte Carlo methods and in approximations of the posterior: design of efficient algorithms, study of the statistical properties of these algorithms, and challenging applications. The objective of this Special Issue is to provide the latest advances in approximate Monte Carlo met
"""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-02T09:21:48.000Z"
"docTitle" => "Approximate Bayesian Inference"
"docSurtitle" => "Direction d'ouvrage"
"authorNames" => "<a href="/cv/alquier-pierre">ALQUIER Pierre</a>"
"docDescription" => "<span class="document-property-authors">ALQUIER Pierre</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2022</span> <span class="document-property-authors">ALQUIER Pierre</span><br><span class="document-property-auth "
"keywordList" => "<a href="#">Bayesian statistics</a>, <a href="#">machine learning</a>, <a href="#">variational approximations</a>, <a href="#">PAC-Bayes</a>, <a href="#">expectation-propagation</a>, <a href="#">Markov chain Monte Carlo</a>, <a href="#">Langevin Monte Carlo</a>, <a href="#">sequential Monte Carlo</a>, <a href="#">Laplace approximations</a>, <a href="#">approximate Bayesian computation</a>, <a href="#">Gibbs posterior</a> <a href="#">Bayesian statistics</a>, <a href="#">machine learning</a>, <a href="#">variational appro "
"docPreview" => "<b>Approximate Bayesian Inference</b><br><span>2022-05 | Direction d'ouvrage </span>"
"docType" => "research"
"publicationLink" => "<a href="https://www.mdpi.com/books/book/5544" target="_blank">Approximate Bayesian Inference</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.969117
+"parent": null
}
