Classical and Bayesian parameter estimation
This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.
This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.
The aim of the app is to give students and researchers a tool to balance experimental groups before starting an experiment.
This app illustrates the relation between p-values and Bayes factors for various statistical tests under sequential and block sampling procedures.
The goal of this shiny app is to visualize the effect of shrinkage estimators and compare their performance to other estimators.
This app illustrates the relation between p values and Bayes factors for various widely-used statistical tests of hypotheses.
The goal of the Bayesian t-test app is to provide teachers with a handy tool to show students what a Bayes factor, and more generally, what the results from a Bayesian t-test look like when data points are added in…
The “Bayesian correlation analysis” app shows how the results of Bayesian procedures vary in the light of changes regarding data and prior beliefs.
An extended version of a student app: An introduction to Bayesian statistics