In this video, Andrei Zhirnov introduces bayesian data analysis, a way of statistical modelling that treats all the unknowns in the analysis as random variables. Andrei also explains what is meant by unknowns and what it means to treat the unknown as random variables
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
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...
In this video, Andrei introduces a series of videos looking at Bayesian data analysis. These will of...
In this video, Dr Gabriel Katz talks about the basics of Bayesian computation, working through a ser...
This article explains the foundational concepts of Bayesian data analysis using virtually no mathema...
In this video, Andrei Zhirnov walks through an example of data generation using a simple scenario to...
The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is de...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
Bayesian analysis offers a powerful tool for data analysis, as it is able to make probabilistic stat...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistic...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
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...
In this video, Andrei introduces a series of videos looking at Bayesian data analysis. These will of...
In this video, Dr Gabriel Katz talks about the basics of Bayesian computation, working through a ser...
This article explains the foundational concepts of Bayesian data analysis using virtually no mathema...
In this video, Andrei Zhirnov walks through an example of data generation using a simple scenario to...
The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is de...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
Bayesian analysis offers a powerful tool for data analysis, as it is able to make probabilistic stat...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistic...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
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...