Bayesian Statistics in Action

BAYSM 2016, Florence, Italy, June 19-21

  • Raffaele Argiento
  • Ettore Lanzarone
  • Isadora Antoniano Villalobos
  • Alessandra Mattei
Conference proceedings BAYSM 2016

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 194)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Theory and Methods

    1. Front Matter
      Pages 1-1
    2. Danilo Alvares, Carmen Armero, Anabel Forte, Nicolas Chopin
      Pages 3-9
    3. Julyan Arbel, Igor Prünster
      Pages 11-19
    4. Andrea Cremaschi, Jim E. Griffin
      Pages 21-30
    5. Eduard Belitser, Nurzhan Nurushev
      Pages 51-66
    6. Jan Reichl, Kamil Dedecius
      Pages 67-77
    7. Sylvain Robert, Hans R. Künsch
      Pages 79-89
  3. Applications and Case Studies

    1. Front Matter
      Pages 103-103
    2. Maeregu Woldeyes Arisido, Carlo Gaetan, Davide Zanchettin, Angelo Rubino
      Pages 105-113
    3. Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat
      Pages 127-137
    4. Camilla Bianchi, Ettore Lanzarone, Giustina Casagrande, Maria Laura Costantino
      Pages 139-149
    5. Guillaume Kon Kam King, Julyan Arbel, Igor Prünster
      Pages 151-159
    6. Elena Lázaro, Carmen Armero, Luis Rubio
      Pages 173-181
    7. Consuelo R. Nava, Cinzia Carota, Ugo Colombino
      Pages 193-202
    8. Vittorio Nicoletta, Ettore Lanzarone, Alessandra Guglielmi, Valérie Bélanger, Angel Ruiz
      Pages 203-212
    9. Debora Parisi, Stefania Perego
      Pages 213-221
    10. Alison Parton, Paul G. Blackwell, Anna Skarin
      Pages 223-230
    11. André Python, Janine Illian, Charlotte Jones-Todd, Marta Blangiardo
      Pages 231-239

About these proceedings


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).


Bayesan statistics Theoretical and Applied statistics Computational statistics Young researchers Statistical tehory and methods

Editors and affiliations

  • Raffaele Argiento
    • 1
  • Ettore Lanzarone
    • 2
  • Isadora Antoniano Villalobos
    • 3
  • Alessandra Mattei
    • 4
  1. 1.CNR–IMATIMilanoItaly
  2. 2.CNR-IMATIMilanItaly
  3. 3.Decision SciencesBocconi UniversityMilanItaly
  4. 4.Dipartimento di Statistica "G. Parenti"Università di FirenzeFirenzeItaly

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