Bayesian Statistics and New Generations BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Argiento, Raffaele (Editor, http://id.loc.gov/vocabulary/relators/edt), Durante, Daniele (Editor, http://id.loc.gov/vocabulary/relators/edt), Wade, Sara (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer Proceedings in Mathematics & Statistics, 296
• Subjects: Statistics .; Computer simulation.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics for Life Sciences, Medicine, Health Sciences.; Simulation and Modeling.
• Physical Description: XI, 184 p. 40 illus., 29 illus. in color. online resource.
• ISBN: 9783030306113
• ISSN: 2194-1009 ;
• DOI: 10.1007/978-3-030-30611-3

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.