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Change the model to use an informative prior

The code displayed is the old model you developed from scratch in chapter 2.

Questo esercizio fa parte del corso

Fundamentals of Bayesian Data Analysis in R

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Istruzioni dell'esercizio

  • Change this model to use the new informative prior for proportion_clicks that you just selected:
rbeta(n_draws, shape1 = 5, shape2 = 95)

esercizio interattivo pratico

Prova questo esercizio completando questo codice di esempio.

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))
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