Change the model to use an informative prior
The code displayed is the old model you developed from scratch in chapter 2.
Latihan ini adalah bagian dari kursus
Fundamentals of Bayesian Data Analysis in R
Petunjuk latihan
- Change this model to use the new informative prior for
proportion_clicksthat you just selected:
rbeta(n_draws, shape1 = 5, shape2 = 95)
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
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))