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3rd Bayesian Young Statisticians Meeting

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics...

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Detalles Bibliográficos
Autores principales: Argiento, Raffaele, Lanzarone, Ettore, Villalobos, Isadora, Mattei, Alessandra
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-54084-9
http://cds.cern.ch/record/2265689
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author Argiento, Raffaele
Lanzarone, Ettore
Villalobos, Isadora
Mattei, Alessandra
author_facet Argiento, Raffaele
Lanzarone, Ettore
Villalobos, Isadora
Mattei, Alessandra
author_sort Argiento, Raffaele
collection CERN
description This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks).
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institution Organización Europea para la Investigación Nuclear
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spelling cern-22656892021-04-22T06:36:45Zdoi:10.1007/978-3-319-54084-9http://cds.cern.ch/record/2265689engArgiento, RaffaeleLanzarone, EttoreVillalobos, IsadoraMattei, Alessandra3rd Bayesian Young Statisticians MeetingMathematical Physics and MathematicsThis book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks).Springeroai:cds.cern.ch:22656892017
spellingShingle Mathematical Physics and Mathematics
Argiento, Raffaele
Lanzarone, Ettore
Villalobos, Isadora
Mattei, Alessandra
3rd Bayesian Young Statisticians Meeting
title 3rd Bayesian Young Statisticians Meeting
title_full 3rd Bayesian Young Statisticians Meeting
title_fullStr 3rd Bayesian Young Statisticians Meeting
title_full_unstemmed 3rd Bayesian Young Statisticians Meeting
title_short 3rd Bayesian Young Statisticians Meeting
title_sort 3rd bayesian young statisticians meeting
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-54084-9
http://cds.cern.ch/record/2265689
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