Clicks per day instead of clicks per ad
When you put up a banner on your friend's site you got 19 clicks in a day, how many daily clicks should you expect this banner to generate on average? Now, modify your model, one piece at a time, to calculate this.
Cet exercice fait partie du cours
<cours>Fundamentals of Bayesian Data Analysis in R</cours>Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
# Replace proportion_clicks with mean_clicks and change the parameters
n_draws <- 100000
n_ads_shown <- 100
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, ]