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Exchangeable Testing Against an Unknown Benchmark

Gnedin, Alexander
arXiv (All) · Papers
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60c0560g70probabilitystatistics-theory
We generate infinite binary exchangeable sequences by sequential comparison of data points against a latent benchmark. Assuming a prior distribution of the benchmark rank \(R_0\) within an unobserved group of players, we set up the Bayesian machinery which determines the posterior distribution of th
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