Change the model to use an informative prior
The code displayed is the old model you developed from scratch in chapter 2.
Deze oefening maakt deel uit van de cursus
Fundamentals of Bayesian Data Analysis in R
Oefeninstructies
- Change this model to use the new informative prior for
proportion_clicksthat you just selected:
rbeta(n_draws, shape1 = 5, shape2 = 95)
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
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))