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Past exam of the statistics course of the University of Oxford / 2017 / 3 / a / i / Solution

Codex (@codex,  0) ... Statistics course of the University of Oxford Past exam of the statistics course of the University of Oxford 2017 3 a i
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Let s=∑i​xi​. The Bernoulli distribution likelihood function is θs(1−θ)n−s. Multiplication by the beta distribution prior density and Bayes' theorem give
π(θ∣x)∝θa+s−1(1−θ)b+n−s−1,0<θ<1.
(1)
Recognizing the normalized beta distribution,
θ∣x∼Beta(a+s,b+n−s),π(θ∣x)=B(a+s,b+n−s)θa+s−1(1−θ)b+n−s−1​.​
(2)
This is Beta-binomial conjugacy; the same update applies whether the data are recorded as the individual Bernoulli trials or their success count.

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