New frontiers in Bayesian statistics : BAYSM 2021, online, September 1-3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin, editors.

This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021. Despite all the challenges of an online conference, the meeting provided a valuable opportunity for early ca...

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Bibliographic Details
Corporate Author: BAYSM Online
Other Authors: Argiento, Raffaele (Editor), Camerlenghi, Federico (Editor), Paganin, Sally (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2022]
Series:Springer proceedings in mathematics & statistics ; v.405.
Subjects:
Online Access:Click for online access
Description
Summary:This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021. Despite all the challenges of an online conference, the meeting provided a valuable opportunity for early career researchers, including MSc students, PhD students, and postdocs to connect with the broader Bayesian community. The proceedings highlight many different topics in Bayesian statistics, presenting promising methodological approaches to address important challenges in a variety of applications. The book is intended for a broad audience of people interested in statistics, and provides a series of stimulating contributions on theoretical, methodological, and computational aspects of Bayesian statistics.
Item Description:Selected conference proceedings.
Includes author index.
Physical Description:1 online resource (xi, 117 pages) : illustrations (some color).
ISBN:9783031164279
303116427X
9788303116420
8303116428
Source of Description, Etc. Note:Print version record.