This chapter introduces the conceptual basis of the objective Bayesian approach to experimental data analysis and reviews some of its methodological improvements. The presentation is essentially non-technical and, within this perspective, restricted to relatively simple situations of inference about proportions. Bayesian computations and softwares are also briefly reviewed and some further topics are introduced
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This chapter introduces the conceptual basis of the objective Bayesian approach to experimental data...
Analysis of experimental data from Bayesian point of view has been considered. Appropriate methodolo...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Scientists perform experiments to collect evidence supporting one or another hypothesis or theory. E...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional sta...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This chapter introduces the conceptual basis of the objective Bayesian approach to experimental data...
Analysis of experimental data from Bayesian point of view has been considered. Appropriate methodolo...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
Scientists perform experiments to collect evidence supporting one or another hypothesis or theory. E...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional sta...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...