Change the model to use an informative prior
The code displayed is the old model you developed from scratch in chapter 2.
Este ejercicio forma parte del curso
Fundamentals of Bayesian Data Analysis in R
Instrucciones del ejercicio
- Change this model to use the new informative prior for
proportion_clicksthat you just selected:
rbeta(n_draws, shape1 = 5, shape2 = 95)
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
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))