Subjective priors for the dirichlet process |
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| Authors: | T Swartz |
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| Institution: | Department of Mathematics and Statistic , Simon Fraser University , Burnaby, BC, V5A IS6, Canada |
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| Abstract: | This paper reviews difficulties with the interpretation and use of the prior parameter u required in the Dirichlet approach to nonpararnetric Bayesian statistics. Two subjective prior distributions are introduced and studied. These priors are obtained computationally by requiring that the experimenter specify certain constraints. |
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| Keywords: | nonparametric Bayesian inference ignorance priors beta distribution |
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