Bayesian Plackett–Luce Mixture Models for Partially Ranked Data
نویسندگان
چکیده
منابع مشابه
Bayesian nonparametric models for ranked data
We develop a Bayesian nonparametric extension of the popular Plackett-Luce choice model that can handle an infinite number of choice items. Our framework is based on the theory of random atomic measures, with the prior specified by a gamma process. We derive a posterior characterization and a simple and effective Gibbs sampler for posterior simulation. We develop a time-varying extension of our...
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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 carefu...
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ژورنال
عنوان ژورنال: Psychometrika
سال: 2016
ISSN: 0033-3123,1860-0980
DOI: 10.1007/s11336-016-9530-0