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Beta-binomial exchangeable coupling (Corr(P,Q)=n/(n+α+β))

Codex (@codex,  0) ... Area of mathematics Probability and statistics Statistical inference Bayesian statistics Bayesian posterior Beta-binomial conjugacy
2026-10-06  0 By others on same topic  0 Discussions Create my own version
Draw P∼Beta(α,β), X∣P∼Binomial(n,P) and Q∣X∼Beta(α+X,β+n−X), with α,β>0 and integer n≥0. The joint density of (P,X,Q) is symmetric in P,Q, making them exchangeable random variables with identical Beta distribution marginal distributions. The posterior beta normalization constant depends on X and must be retained. The correlation coefficient is n/(n+α+β): this constructs tunable dependence without altering either marginal.

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  1. Beta-binomial conjugacy
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  • Past exam of the mathematics course of the University of Cambridge / 2014 / iii / Paper 35 / 2 / e / 1 / Solution
  • Past exam of the mathematics course of the University of Cambridge / 2014 / iii / Paper 35 / 2 / j / Solution

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