Classical and Bayesian Parameter Estimation

This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures. You will be able to make changes to the observed response frequencies and the parameters of a basic local independence model (BLIM). Then, the app allows you to estimate the model parameters using different estimation methods (classical and Bayesian), visualize the results, and compare the methods with each other.

TquanT was co-funded by the Erasmus+ Programme of the European Commission.

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© 2016, 2017 Alexandra Sarafoglou, University of Tübingen, Germany

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