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)
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statis...
The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilit...
Plenary lecturers and senior discussants of BAYSM 2013 provide a discussion of recent developments i...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comp...
Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodo...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
https://stat4astro2017.sciencesconf.org/International audienceThis book includes the lectures given ...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Bayesian networks are powerful tools for representing relations of dependence among variables of a d...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statis...
The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilit...
Plenary lecturers and senior discussants of BAYSM 2013 provide a discussion of recent developments i...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comp...
Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodo...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
https://stat4astro2017.sciencesconf.org/International audienceThis book includes the lectures given ...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Bayesian networks are powerful tools for representing relations of dependence among variables of a d...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...