Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The ...

Virtually any decision comes with a sense of confidence—a subjective feeling that clearly affects our everyday choices. For example, we reduce speed when driving at night because we feel less ...

Whenever it says “the probability that λ equals some value,” what I really mean is: PDF value × a very small interval Mathematically: probability =g(λ)dλ where g(λ) is the PDF(probability density ...

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Bayesian updating, also known as belief revision or conditioning, is a core mechanism of probability theory, and of AI. The human mind is very sensitive to the order in which it is being “primed”, but ...

In this vignette, we will show the use of the `BayesianMCPMod` R package for trial planning for binary data. For this setting the main specifications need to happen on the logit scale, see also the ...