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Springer Proceedings in Mathematics & Statistics

Bayesian Statistics and New Generations

BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

Editors: Argiento, Raffaele, Durante, Daniele, Wade, Sara (Eds.)

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  • Highlights novel methodological and computational contributions on Bayesian statistics
  • Presents successful applications of Bayesian statistics in neuroscience, astrostatistics and climate change
  • Provides new findings and research questions to stimulate future advances in Bayesian statistics
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eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-030-30611-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-030-30610-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researchers, MSc students, PhD students, and postdocs interested in Bayesian statistics to connect with the broader Bayesian community. The proceedings offer cutting-edge papers on a wide range of topics in Bayesian statistics, identify important challenges and investigate promising methodological approaches, while also assessing current methods and stimulating applications. The book is intended for a broad audience of statisticians, and demonstrates how theoretical, methodological, and computational aspects are often combined in the Bayesian framework to successfully tackle complex problems.


About the authors

Raffaele Argiento is an Assistant Professor of Statistics at the Department of Economic, Social, Mathematical and Statistical Sciences (ESOMAS), University of Turin, Italy. He is member of the board for the Ph.D. in Modeling and Data Science at the same University and affiliated to the “de Castro” Statistics initiative hosted by the Collegio Carlo Alberto, Turin. His research focuses on Bayesian parametric and nonparametric methods from both theoretical and applied viewpoints. He is the executive director of the Applied Bayesian Summer School (ABS) and a member of the BAYSM board.

Daniele Durante is an Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy, and a Research Affiliate at the Bocconi Institute for Data Science and Analytics (BIDSA). His research is characterized by its use of an interdisciplinary approach at the intersection of Bayesian methods, modern applications, and statistical learning to develop flexible and computationally tractable models for handling complex data. He was the chair of the Junior Section of the International Society for Bayesian Analysis (j-ISBA) in 2018.

Sara Wade is a Lecturer in Statistics and Data Science at the School of Mathematics, University of Edinburgh, UK. Prior to this, she was a Harrison Early Career Assistant Professor of Statistics at the University of Warwick, UK, where she organised and chaired the 4th BAYSM. Her research focuses on Bayesian nonparametrics and machine learning, especially the development of flexible nonparametric priors and efficient inference for complex data.


Table of contents (18 chapters)

Table of contents (18 chapters)

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-030-30611-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-030-30610-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Statistics and New Generations
Book Subtitle
BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions
Editors
  • Raffaele Argiento
  • Daniele Durante
  • Sara Wade
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
296
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30611-3
DOI
10.1007/978-3-030-30611-3
Hardcover ISBN
978-3-030-30610-6
Series ISSN
2194-1009
Edition Number
1
Number of Pages
XI, 184
Number of Illustrations
11 b/w illustrations, 29 illustrations in colour
Topics