Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach

This work presents a new method for assisting in the identifcation process of missing persons in several contexts, such as enforced disappearances. We apply a Bayesian technique to incorporate non-genetic variables in the construction of prior information. In that way, we can learn from the already-...

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Detalles Bibliográficos
Autores principales:	Caridi, Inés, Álvarez, Enrique Ernesto, Somigliana, Carlos, Salado Puerto, Mercedes
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2020
Materias:	Matemática Missing persons Identifcation process Bayesian technique Non-genetic variables
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/107856 http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7081231&blobtype=pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-107856
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Matemática Missing persons Identifcation process Bayesian technique Non-genetic variables
spellingShingle	Matemática Missing persons Identifcation process Bayesian technique Non-genetic variables Caridi, Inés Álvarez, Enrique Ernesto Somigliana, Carlos Salado Puerto, Mercedes Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
topic_facet	Matemática Missing persons Identifcation process Bayesian technique Non-genetic variables
description	This work presents a new method for assisting in the identifcation process of missing persons in several contexts, such as enforced disappearances. We apply a Bayesian technique to incorporate non-genetic variables in the construction of prior information. In that way, we can learn from the already-solved cases of a particular mass event of death, and use that information to guide the search among remaining victims. This paper describes a particular application to the proposed method to the identifcation of human remains of the so-called disappeared during the last dictatorship in Argentina, which lasted from 1976 until 1983. Potential applications of the techniques presented hereby, however, are much wider. The central idea of our work is to take advantage of the already-solved cases within a certain event to use the gathered knowledge to assist in the investigation process, enabling the construction of prioritized rankings of victims that could correspond to each certain unidentifed human remains.
format	Articulo Articulo
author	Caridi, Inés Álvarez, Enrique Ernesto Somigliana, Carlos Salado Puerto, Mercedes
author_facet	Caridi, Inés Álvarez, Enrique Ernesto Somigliana, Carlos Salado Puerto, Mercedes
author_sort	Caridi, Inés
title	Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
title_short	Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
title_full	Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
title_fullStr	Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
title_full_unstemmed	Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
title_sort	using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a bayesian approach
publishDate	2020
url	http://sedici.unlp.edu.ar/handle/10915/107856 http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7081231&blobtype=pdf
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Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach

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