Add to ORKG16 pages, 2 figures, 2 tables, chapter of the contributed volume "Bayesian Methods and Expert Elicitation", Risk Book, LondonThis introduction to Bayesian statistics presents the main concepts as well as the principal reasons advocated in favour of a Bayesian modelling. We cover the various approaches to prior determination as well as the basis asymptotic arguments in favour of using Bayes estimators. The testing aspects of Bayesian inference are also examined in details
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
16 pages, 2 figures, 2 tables, chapter of the contributed volume "Bayesian Methods and Expert Elicit...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
This book presents Bayes' theorem, the estimation of unknown parameters, the determination of confid...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
The aim of this thesis is to cover the basics of Bayesian inference. Bayesian logic is to consider p...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...
16 pages, 2 figures, 2 tables, chapter of the contributed volume "Bayesian Methods and Expert Elicit...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
This book presents Bayes' theorem, the estimation of unknown parameters, the determination of confid...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
The aim of this thesis is to cover the basics of Bayesian inference. Bayesian logic is to consider p...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In ...