Small Shiny App which uses example of coin tosses to help demonstrate value of Bayesian analysis. If no data is input by the user, example data (from the coin toss example detailed on the app) is used ...

This file tries to take aspects of the Bayesian workflow paper by Gelman and colleagues and apply them to an example scenario in experimental psychology / cognitive neuroscience. The workflow that I ...

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to ...

Bayesian adaptive designs can improve the efficiency of trials, and lead to trials that can produce high quality evidence more quickly, with fewer patients and lower costs than traditional methods.

This note presents a counterexample to the common assumption that theproperties of Bayesian limits are not too different from those offrequentist Confidence Limits. A realistic example is described ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

Bayesian analysis example model, vector illustration labeled graph lines. Decision making approach for drawing evidence based conclusions about hypothesis. Prior and posterior beliefs relationship.

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