Add to ORKGA workshop providing an introduction to Bayesian data analysis and hypothesis testing using R, Jags and the BayesFactor package
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
Textbook for graduates.Includes bibliographical references (p. [317]-337) and indexes
There is an explosion of interest in Bayesian statistics, primarily because recently created computa...
In this video, Andrei introduces a series of videos looking at Bayesian data analysis. These will of...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
This talk will introduce BayesianFirstAid1, an R package that implements Bayesian alternatives to th...
International audienceThis Bayesian modeling book provides a self-contained entry to computational B...
Leverages R packages targets and R2jags to simplify pipeline construction for Bayesian workflows
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Fo...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
This book presents Bayes' theorem, the estimation of unknown parameters, the determination of confid...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The use of Bayesian methods has become increasingly popular in modern statistical analysis, with app...
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a se...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
Textbook for graduates.Includes bibliographical references (p. [317]-337) and indexes
There is an explosion of interest in Bayesian statistics, primarily because recently created computa...
In this video, Andrei introduces a series of videos looking at Bayesian data analysis. These will of...
This introduction to Bayesian statistics presents the main concepts as well as the principal reasons...
This talk will introduce BayesianFirstAid1, an R package that implements Bayesian alternatives to th...
International audienceThis Bayesian modeling book provides a self-contained entry to computational B...
Leverages R packages targets and R2jags to simplify pipeline construction for Bayesian workflows
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Fo...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
This book presents Bayes' theorem, the estimation of unknown parameters, the determination of confid...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The use of Bayesian methods has become increasingly popular in modern statistical analysis, with app...
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a se...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the...
Textbook for graduates.Includes bibliographical references (p. [317]-337) and indexes