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Bayesian Statistics from Methods to Models and Applications

Research from BAYSM 2014

  • Sylvia Frühwirth-Schnatter
  • Angela Bitto
  • Gregor Kastner
  • Alexandra Posekany

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 126)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Julyan Arbel, Antonio Lijoi, Bernardo Nipoti
      Pages 3-14
    3. Kamil Dedecius, Jan Reichl
      Pages 27-36
    4. Clara Grazian, Christian P. Robert
      Pages 37-48
    5. Ana Paula Palacios, J. Miguel Marín, Michael P. Wiper
      Pages 49-57
    6. Konstantinos Perrakis, Dimitris Fouskakis, Ioannis Ntzoufras
      Pages 59-73
  3. Applications and Case Studies

    1. Front Matter
      Pages 107-107
    2. Madhura Killedar, Stefano Borgani, Dunja Fabjan, Klaus Dolag, Gian Luigi Granato, Susana Planelles et al.
      Pages 115-124
    3. Ettore Lanzarone, Ferdinando Auricchio, Michele Conti, Anna Ferrara
      Pages 133-142
    4. Laura Martín-Fernández, Ettore Lanzarone
      Pages 143-151
    5. Ellis Scharfenaker, Gregor Semieniuk
      Pages 153-164
  4. Back Matter
    Pages 165-167

About these proceedings

Introduction

The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted BAYSM 2014 from September 18th to 19th. The guidance of renowned plenary lecturers and senior discussants is a critical part of the meeting and this volume, which follows publication of contributions from BAYSM 2013. The meeting's scientific program reflected the variety of fields in which Bayesian methods are currently employed or could be introduced in the future. Three brilliant keynote lectures by Chris Holmes (University of Oxford), Christian Robert (Université Paris-Dauphine), and Mike West (Duke University), were complemented by 24 plenary talks covering the major topics Dynamic Models, Applications, Bayesian Nonparametrics, Biostatistics, Bayesian Methods in Economics, and Models and Methods, as well as a lively poster session with 30 contributions. Selected contributions have been drawn from the conference for this book. All contributions in this volume are peer-reviewed and share original research in Bayesian computation, application, and theory.

Keywords

Applied bayesian statistics Bayesian estimation Bayesian statistics Bayesian statistics applications Bayesian survival model Computational bayesian statistics Decision sciences Stochastic processes Theoretical bayesian statistics

Editors and affiliations

  • Sylvia Frühwirth-Schnatter
    • 1
  • Angela Bitto
    • 2
  • Gregor Kastner
    • 3
  • Alexandra Posekany
    • 4
  1. 1.Institute for Statistics and MathematicsWU Vienna University of Economics and BusinessViennaAustria
  2. 2.Institute for Statistics and MathematicsWU Vienna University of Economics and BusinessViennaAustria
  3. 3.Institute for Statistics and MathematicsWU Vienna University of Economics and BusinessViennaAustria
  4. 4.Institute for Statistics and MathematicsWU Vienna University of Economics and BusinessViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16238-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-16237-9
  • Online ISBN 978-3-319-16238-6
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • Buy this book on publisher's site
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