Bayesian nonparametric models for ranked data: Supplementary Material
نویسندگان
چکیده
The marginal probability (14) is obtained by taking the expectation of (13) with respect to G. Note however that (13) is a density, so to be totally precise here we need to work with the probability of infinitesimal neighborhoods around the observations instead, which introduces significant notational complexity. To keep the notation simple, we will work with densities, leaving it to the careful reader to verify that the calculations indeed carry over to the case of probabilities. P ((Y`, Z`) L `=1) =E [ P ((Y`, Z`) L `=1|G) ]
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