Change the model to use an informative prior
The code displayed is the old model you developed from scratch in chapter 2.
Cet exercice fait partie du cours
<cours>Fundamentals of Bayesian Data Analysis in R</cours>Instructions de l’exercice
- Change this model to use the new informative prior for
proportion_clicksthat you just selected:
rbeta(n_draws, shape1 = 5, shape2 = 95)
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
n_draws <- 100000
n_ads_shown <- 100
# Change the prior on proportion_clicks
proportion_clicks <-
runif(n_draws, min = 0.0, max = 0.2)
n_visitors <-
rbinom(n_draws, size = n_ads_shown,
prob = proportion_clicks)
prior <-
data.frame(proportion_clicks, n_visitors)
posterior <-
prior[prior$n_visitors == 13, ]
# This plots the prior and the posterior in the same plot
par(mfcol = c(2, 1))
hist(prior$proportion_clicks,
xlim = c(0, 0.25))
hist(posterior$proportion_clicks,
xlim = c(0, 0.25))