Change the model to use an informative prior
The code displayed is the old model you developed from scratch in chapter 2.
Latihan ini merupakan bagian dari kursus
Fundamentals of Bayesian Data Analysis in R
Instruksi 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 langsung praktik
Cobalah latihan ini dengan melengkapi kode contoh ini.
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))