<div class="csl-bib-body">
<div class="csl-entry">Avalos Pacheco, A., De Vito, R., & Maire, F. (Eds.). (2023). <i>Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23</i> (Vol. 435). Springer. https://doi.org/10.1007/978-3-031-42413-7</div>
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dc.identifier.isbn
978-3-031-42412-0
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dc.identifier.isbn
978-3-031-42413-7
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191404
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dc.description.abstract
This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22–23, titled "Bayesian Statistics, New Generations New Approaches". This collection features selected peer-reviewed contributions that showcase the vibrant and diverse research presented at meeting.
This book is intended for a broad audience interested in statistics and aims at providing stimulating contributions to theoretical, methodological, and computational aspects of Bayesian statistics. The contributions highlight various topics in Bayesian statistics, presenting promising methodological approaches to address critical challenges across diverse applications. This compilation stands as a testament to the talent and potential within the j-ISBA community.
This book is meant to serve as a catalyst for continued advancements in Bayesian methodology and its applications and encourages fruitful collaborations that push the boundaries of statistical research.
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dc.language.iso
en
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dc.publisher
Springer
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dc.relation.ispartofseries
Springer Proceedings in Mathematics & Statistics
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dc.subject
Bayesian non parametric
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dc.subject
BAYSM
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dc.subject
Bayesian data analysis
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dc.subject
Bayesian modeling
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dc.subject
Bayesian dimension reduction techniques
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dc.subject
Bayesian dimension reduction techniques
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dc.subject
Bayesian computation
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dc.subject
Bayesian Cluster methods
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dc.subject
Bayesian process
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dc.title
Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23
