Explore using the Beta distribution as a prior
The Beta distribution is a useful probability distribution when you want model uncertainty over a parameter bounded between 0 and 1. Here you'll explore how the two parameters of the Beta distribution determine its shape.
Deze oefening maakt deel uit van de cursus
Fundamentals of Bayesian Data Analysis in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Explore using the rbeta function
beta_sample <- rbeta(n = 1000000, shape1 = 1, shape2 = 1)
# Visualize the results