Springer Proceedings in Mathematics & Statistics

Bayesian Statistics in Action

BAYSM 2016, Florence, Italy, June 19-21

Editors: Argiento, R., Lanzarone, E., Antoniano Villalobos, I., Mattei, A. (Eds.)

  • Offers contributions presented by young Bayesian statisticians
  • Presents a selection of innovative contributions
  • Faithful community following the conference editions
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eBook 91,62 €
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  • ISBN 978-3-319-54084-9
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Hardcover 114,39 €
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  • ISBN 978-3-319-54083-2
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About this book

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).

About the authors

​Raffaele Argiento is an assistant professor of statistics at the Department of Economic, Social, Mathematical and Statistical Sciences (ESOMAS) of the University of Turin, Italy. He obtained an M.Sc. degree in mathematics from Federico II University, Naples, Italy, in 2000 and a Ph.D. in statistics from Bocconi University, Milan, Italy, in 2007. He is affiliated to the "de Castro" Statistics initiative of the Collegio Carlo Alberto, Turin, Italy. He is a member of the board for the Ph.D. in statistics at Bocconi University. 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.

Ettore Lanzarone is a researcher at the Institute of Applied Mathematics and Information Technology ``E. Magenes'' (IMATI) at the National Research Council of Italy (CNR) in Milan, Italy. He obtained an M.Sc. degree in biomedical engineering and a Ph.D. in bioengineering from Politecnico di Milano, Italy, in 2004 and 2008, respectively. He is adjunct professor at the Department of Mathematics of Politecnico di Milano, Milan, Italy, and a collaborating member of the CIRRELT laboratory, Montréal and Quebec City, Canada. His research interests include prediction methods (Bayesian in particular), optimization and operations research, and bioengineering. He is cofounder of the BAYSM conferences and a member of the BAYSM board.

Isadora Antoniano-Villalobos is an assistant professor of statistics at the Department of Decision Sciences and a member of the board for the Ph.D. in statistics at Bocconi University, Milan, Italy. She obtained an M.Sc. degree in mathematics from the Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico, in 2008 and a Ph.D. in statistics from the University of Kent, Canterbury, UK, in 2013. Her research focuses on nonparametric Bayesian models and methods, sensitivity analysis, and extreme value theory. She was chair-elect and chair of the junior section of the International Society for Bayesian Analysis (j-ISBA) in 2014 and 2015-2016.

Alessandra Mattei is an assistant professor of statistics at the Department of Statistics, Computer Science, Applications ``G. Parenti'' at the University of Florence, Italy, where she also obtained her M.A. in statistics and Ph.D. in applied statistics. In 2012 she was a research fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI), NC, USA. She has given short courses in Causal Inference. She is currently associate editor for the Journal of the Royal Statistical Society A. Her research interests include causal inference in experimental and observational studies, Bayesian inference, and inference with missing data problems.

Table of contents (23 chapters)

  • Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data

    Alvares, Danilo (et al.)

    Pages 3-9

    Preview Buy Chapter 30,19 €
  • On the Truncation Error of a Superposed Gamma Process

    Arbel, Julyan (et al.)

    Pages 11-19

    Preview Buy Chapter 30,19 €
  • On the Study of Two Models for Integer-Valued High-Frequency Data

    Cremaschi, Andrea (et al.)

    Pages 21-30

    Preview Buy Chapter 30,19 €
  • Identification and Estimation of Principal Causal Effects in Randomized Experiments with Treatment Switching

    Gramuglia, Emanuele

    Pages 31-37

    Preview Buy Chapter 30,19 €
  • A Bayesian Joint Dispersion Model with Flexible Links

    Martins, Rui

    Pages 39-49

    Preview Buy Chapter 30,19 €

Buy this book

eBook 91,62 €
price for Spain (gross)
  • ISBN 978-3-319-54084-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-319-54083-2
  • 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 in Action
Book Subtitle
BAYSM 2016, Florence, Italy, June 19-21
Editors
  • Raffaele Argiento
  • Ettore Lanzarone
  • Isadora Antoniano Villalobos
  • Alessandra Mattei
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
194
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-54084-9
DOI
10.1007/978-3-319-54084-9
Hardcover ISBN
978-3-319-54083-2
Series ISSN
2194-1009
Edition Number
1
Number of Pages
IX, 251
Number of Illustrations and Tables
12 b/w illustrations, 44 illustrations in colour
Topics