An app introducing and illustrating the race model for multisensory signals.
Read MoreThis app visualizes the trade-off between the parameters of a non-identifiable basic local independence model (BLIM).
Read MoreThis app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.
Read MoreThis app uses three procedures to estimate the parameters for a data set and a knowledge structure specified by the user.
Read MoreThe Skill mApp aims to provide a first contact with both the Knowledge Space Theory and the skill map theory.
Read MoreThe goal of this shiny app is to visualize the effect of shrinkage estimators and compare their performance to other estimators.
Read MoreThis app illustrates the relation between p values and Bayes factors for various widely-used statistical tests of hypotheses.
Read MoreThe 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 real-time.
Read MoreThe “Bayesian correlation analysis” app shows how the results of Bayesian procedures vary in the light of changes regarding data and prior beliefs.
Read MoreAn extended version of a student app: An introduction to Bayesian statistics
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